In [1]:
import numpy as np 
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline
from sklearn.model_selection import train_test_split, KFold, cross_val_score
seed = 10
num_folds=10
from sklearn import metrics
from sklearn.linear_model import LinearRegression, Ridge, Lasso
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import mean_squared_error,r2_score
from sklearn.tree import DecisionTreeRegressor
from sklearn.ensemble import AdaBoostRegressor, GradientBoostingRegressor, RandomForestRegressor, ExtraTreesRegressor
from sklearn.neighbors import KNeighborsRegressor
from sklearn.metrics import silhouette_score, mean_absolute_error
from sklearn.metrics import pairwise_distances
from sklearn.model_selection import GridSearchCV
from sklearn.svm import SVR
from statsmodels.api import OLS
In [2]:
# Importing the data set
data = pd.read_csv('concrete.csv')
data.head()
Out[2]:
cement slag ash water superplastic coarseagg fineagg age strength
0 141.3 212.0 0.0 203.5 0.0 971.8 748.5 28 29.89
1 168.9 42.2 124.3 158.3 10.8 1080.8 796.2 14 23.51
2 250.0 0.0 95.7 187.4 5.5 956.9 861.2 28 29.22
3 266.0 114.0 0.0 228.0 0.0 932.0 670.0 28 45.85
4 154.8 183.4 0.0 193.3 9.1 1047.4 696.7 28 18.29
In [3]:
# meanings of independent variables:

# 0) cement: amount of cement added to the concrete in kg/m3
# 1) slag: is a component mixed with cement to increase it strength and resistance to chemical attacks
# 2) fly ash : it is another component added with cement to increase its properties
# 3) water: is also another component that is added with cement for hardening
# 4) superplastic: it is added with cement to control the compressive strength 
# 5) coarseagg: these are larger particles that are added to the concrete to reduce shrinkage. For eg: granules
# 6) fineagg: finen aggregates are components that are added aling with coarse aggregate to tackle shrinkage and reduce the overall
# amount of cement needed
# 7) age: It is the number of days they left the concrete to dry out, before the strength was measured

Performing EDA

In [4]:
data.shape
Out[4]:
(1030, 9)
In [5]:
data.dtypes
# All the data are of float except for 'age', which is of integer type
Out[5]:
cement          float64
slag            float64
ash             float64
water           float64
superplastic    float64
coarseagg       float64
fineagg         float64
age               int64
strength        float64
dtype: object
In [6]:
data.isnull().sum()
# no NAN entries
Out[6]:
cement          0
slag            0
ash             0
water           0
superplastic    0
coarseagg       0
fineagg         0
age             0
strength        0
dtype: int64
In [7]:
print("The number of null entries in: \n")
for i in data.columns:
    print("{} : {}".format(i,(data[i]==0).sum()))
    
# Although there are no null entries, the number of '0' entries is a lot. However, these 0's cannot be considered as null entries
# because it is possible that the amount of slag, super plastic and fly ash 'added' might actually be 'zero'

# Therefore NO ACTION is taken against these 'zero values'
The number of null entries in: 

cement : 0
slag : 471
ash : 566
water : 0
superplastic : 379
coarseagg : 0
fineagg : 0
age : 0
strength : 0
In [8]:
for i in data.columns:
    print("The Q1 of {} is {:.3f} \nThe Q2 of {} is {:.3f} \nThe Q3 of {} is {:.3f}\n".format(i,np.percentile(data[i],25),i,np.percentile(data[i],50),i,np.percentile(data[i],75)))
The Q1 of cement is 192.375 
The Q2 of cement is 272.900 
The Q3 of cement is 350.000

The Q1 of slag is 0.000 
The Q2 of slag is 22.000 
The Q3 of slag is 142.950

The Q1 of ash is 0.000 
The Q2 of ash is 0.000 
The Q3 of ash is 118.300

The Q1 of water is 164.900 
The Q2 of water is 185.000 
The Q3 of water is 192.000

The Q1 of superplastic is 0.000 
The Q2 of superplastic is 6.400 
The Q3 of superplastic is 10.200

The Q1 of coarseagg is 932.000 
The Q2 of coarseagg is 968.000 
The Q3 of coarseagg is 1029.400

The Q1 of fineagg is 730.950 
The Q2 of fineagg is 779.500 
The Q3 of fineagg is 824.000

The Q1 of age is 7.000 
The Q2 of age is 28.000 
The Q3 of age is 56.000

The Q1 of strength is 23.710 
The Q2 of strength is 34.445 
The Q3 of strength is 46.135

In [9]:
data.skew()

# Superplastic and slag seems to be somewhat skewed. 
# Age is highly skewed.
# Let's check about this more in the univariate analysis
Out[9]:
cement          0.509481
slag            0.800717
ash             0.537354
water           0.074628
superplastic    0.907203
coarseagg      -0.040220
fineagg        -0.253010
age             3.269177
strength        0.416977
dtype: float64
In [10]:
plt.figure(figsize=(20,10))

plt.subplot(2,4,1)
plt.hist(data['cement'],color='green',bins=80)
plt.xlabel('cement')

plt.subplot(2,4,2)
plt.hist(data['slag'],color='orange')
plt.xlabel('slag')

plt.subplot(2,4,3)
plt.hist(data['ash'],color='brown',bins=80)
plt.xlabel('ash')

plt.subplot(2,4,4)
plt.hist(data['water'],color='green',bins=80)
plt.xlabel('water')

plt.show()

# cement and water are somewhat normally distributed
# slag and ash are highly skewed toward the right, this is due to the fact that many of it's values are '0'
In [11]:
plt.figure(figsize=(20,10))

plt.subplot(2,4,1)
plt.hist(data['superplastic'],color='green',bins=80)
plt.xlabel('superplastic')

plt.subplot(2,4,2)
plt.hist(data['coarseagg'],color='orange')
plt.xlabel('coarseagg')

plt.subplot(2,4,3)
plt.hist(data['fineagg'],color='brown',bins=80)
plt.xlabel('fineagg')

plt.subplot(2,4,4)
plt.hist(data['age'],color='green',bins=80)
plt.xlabel('age')

plt.show()

# superplastic and age is highly skewed to the right
# coarseagg and fineagg is normally distributed
In [12]:
plt.figure(figsize=(15,5))
plt.subplot(1,2,1)
plt.hist(data['strength'],color='black',bins=75)


plt.subplot(1,2,2)
sns.kdeplot(data['strength'],color='red',shade=True)
plt.show()
# strength seems to be normally distributed
In [13]:
data_eda = data.copy()
In [14]:
for i in range(0,len(data_eda['age'])):
    if data_eda['age'][i]<=50:
        data_eda['age'][i]='Below 50'
    elif ((data_eda['age'][i]>50) & (data_eda['age'][i]<=100)):
        data_eda['age'][i]='50-100'
    elif ((data_eda['age'][i]>100) & (data_eda['age'][i]<=150)):
        data_eda['age'][i]='100-150'
    elif ((data_eda['age'][i]>150) & (data_eda['age'][i]<=200)):
        data_eda['age'][i]='150-200'
    elif ((data_eda['age'][i]>200) & (data_eda['age'][i]<=250)):
        data_eda['age'][i]='200-250'
    elif ((data_eda['age'][i]>250) & (data_eda['age'][i]<=300)):
        data_eda['age'][i]='250-300'
    elif ((data_eda['age'][i]>300) & (data_eda['age'][i]<=350)):
        data_eda['age'][i]='300-350'
    elif ((data_eda['age'][i]>350) & (data_eda['age'][i]<=400)):
        data_eda['age'][i]='350-400'
D:\Apps\bandi\lib\site-packages\ipykernel_launcher.py:3: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  This is separate from the ipykernel package so we can avoid doing imports until
D:\Apps\bandi\lib\site-packages\pandas\core\indexing.py:670: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  self._setitem_with_indexer(indexer, value)
D:\Apps\bandi\lib\site-packages\ipykernel_launcher.py:5: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  """
D:\Apps\bandi\lib\site-packages\ipykernel_launcher.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  if __name__ == '__main__':
D:\Apps\bandi\lib\site-packages\ipykernel_launcher.py:17: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
D:\Apps\bandi\lib\site-packages\ipykernel_launcher.py:13: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  del sys.path[0]
D:\Apps\bandi\lib\site-packages\ipykernel_launcher.py:7: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  import sys
In [15]:
sns.countplot(data_eda['age'], order=['Below 50','50-100','100-150','150-200','200-250','250-300','300-350','350-400'])
plt.show()

# most of the concrete's strength are measured within less than '50 days'
In [16]:
data.describe().T

# The mean of slag is 73,and 3rd quartile is 142. however the max value is 359
# The mean of ash is 54,and 3rd quartile is 118. however the max value is 200
# The mean of superplastic is 6,and 3rd quartile is 10. however the max value is 32
# The mean of age is 45,and 3rd quartile is 56. however the max value is 365

# "which means there is presence of outliers"
Out[16]:
count mean std min 25% 50% 75% max
cement 1030.0 281.167864 104.506364 102.00 192.375 272.900 350.000 540.0
slag 1030.0 73.895825 86.279342 0.00 0.000 22.000 142.950 359.4
ash 1030.0 54.188350 63.997004 0.00 0.000 0.000 118.300 200.1
water 1030.0 181.567282 21.354219 121.80 164.900 185.000 192.000 247.0
superplastic 1030.0 6.204660 5.973841 0.00 0.000 6.400 10.200 32.2
coarseagg 1030.0 972.918932 77.753954 801.00 932.000 968.000 1029.400 1145.0
fineagg 1030.0 773.580485 80.175980 594.00 730.950 779.500 824.000 992.6
age 1030.0 45.662136 63.169912 1.00 7.000 28.000 56.000 365.0
strength 1030.0 35.817961 16.705742 2.33 23.710 34.445 46.135 82.6
In [17]:
data.std()
Out[17]:
cement          104.506364
slag             86.279342
ash              63.997004
water            21.354219
superplastic      5.973841
coarseagg        77.753954
fineagg          80.175980
age              63.169912
strength         16.705742
dtype: float64
In [18]:
for i in data.columns:
    print("The mean and median of {} is {:.3f} & {} respectively\n".format(i,data[i].mean(),data[i].median()))
The mean and median of cement is 281.168 & 272.9 respectively

The mean and median of slag is 73.896 & 22.0 respectively

The mean and median of ash is 54.188 & 0.0 respectively

The mean and median of water is 181.567 & 185.0 respectively

The mean and median of superplastic is 6.205 & 6.4 respectively

The mean and median of coarseagg is 972.919 & 968.0 respectively

The mean and median of fineagg is 773.580 & 779.5 respectively

The mean and median of age is 45.662 & 28.0 respectively

The mean and median of strength is 35.818 & 34.445 respectively

In [19]:
data.corr()
# None of the independent attributes are highly correlated. Which is good news
# However, there are to attributes which are in "high" correlation with "strength" too
Out[19]:
cement slag ash water superplastic coarseagg fineagg age strength
cement 1.000000 -0.275216 -0.397467 -0.081587 0.092386 -0.109349 -0.222718 0.081946 0.497832
slag -0.275216 1.000000 -0.323580 0.107252 0.043270 -0.283999 -0.281603 -0.044246 0.134829
ash -0.397467 -0.323580 1.000000 -0.256984 0.377503 -0.009961 0.079108 -0.154371 -0.105755
water -0.081587 0.107252 -0.256984 1.000000 -0.657533 -0.182294 -0.450661 0.277618 -0.289633
superplastic 0.092386 0.043270 0.377503 -0.657533 1.000000 -0.265999 0.222691 -0.192700 0.366079
coarseagg -0.109349 -0.283999 -0.009961 -0.182294 -0.265999 1.000000 -0.178481 -0.003016 -0.164935
fineagg -0.222718 -0.281603 0.079108 -0.450661 0.222691 -0.178481 1.000000 -0.156095 -0.167241
age 0.081946 -0.044246 -0.154371 0.277618 -0.192700 -0.003016 -0.156095 1.000000 0.328873
strength 0.497832 0.134829 -0.105755 -0.289633 0.366079 -0.164935 -0.167241 0.328873 1.000000
In [20]:
plt.figure(figsize=(15,10))
sns.heatmap(data.corr(),annot=True)
plt.show()

# no high correlated attributes
# The highest correlated attribute with 'strength' is 'cement' with a correlation of 0.50
# The second highest would be 'superplastic' with 0.37, followed by 'age' (0.33) and 'water' (0.29)

# Among the independent attributes, 'water' & 'superplastic' seem to be of (0.66), negative correlation
# 'fine agg' and 'water' seem to be negatively correlated (0.45)
In [21]:
plt.figure(figsize=(10,8))
sns.boxplot(data=data,orient="h")
plt.show()

# Outliers are present in slag, water, superplastic, fineagg, age,strength.
In [22]:
sns.pairplot(data,diag_kind='kde')
plt.show()

# From the scattered points from the below pair-plot, it is kind of clear that all the attributes are not so correlated at all.
# Amongst everything the highly correlated is cement & strength (0.5)

# Also there could be 3 - 15 clusters (there are 3 to 5 gaussians, as observed from the "diag_kde plot")

# Since there are no highly correlated attributes, i am concluding that all the attributes are to be kept for analysis
In [23]:
sns.jointplot('cement','strength',data=data,color='green',kind='reg')
plt.show()

# From the below scatter plot, It is clear that, "if more amount of cement is added, the strength is higher"
# In other words, compressive strength of concrete increases with increase in the amount of cement

Treatment of Outliers

In [24]:
Q1 = data.quantile(0.25)
Q3 = data.quantile(0.75)

IQR = Q3-Q1
In [25]:
data[((data < (Q1-1.5*IQR)) | (data>(Q3+1.5*IQR))).any(axis=1)]

# There are only 89 rows of outliers. 
# It is better to remove them off rather than corrupt the data with imputing the outliers with median values
Out[25]:
cement slag ash water superplastic coarseagg fineagg age strength
44 531.3 0.0 0.0 141.8 28.2 852.1 893.7 91 59.20
51 331.0 0.0 0.0 192.0 0.0 978.0 825.0 180 39.00
64 332.5 142.5 0.0 228.0 0.0 932.0 594.0 365 41.05
66 237.0 92.0 71.0 247.0 6.0 853.0 695.0 28 28.63
93 427.5 47.5 0.0 228.0 0.0 932.0 594.0 180 41.84
... ... ... ... ... ... ... ... ... ...
995 380.0 0.0 0.0 228.0 0.0 932.0 670.0 365 52.52
1003 323.7 282.8 0.0 183.8 10.3 942.7 659.9 56 80.20
1017 139.6 209.4 0.0 192.0 0.0 1047.0 806.9 180 44.21
1026 531.3 0.0 0.0 141.8 28.2 852.1 893.7 3 41.30
1028 342.0 38.0 0.0 228.0 0.0 932.0 670.0 270 55.06

89 rows × 9 columns

In [26]:
cleandf = data[~((data < (Q1 - 1.5 * IQR)) | (data > (Q3 + 1.5 * IQR))).any(axis=1)]
cleandf.shape

# removing off the values from data which are lesser than "1.5 times the IQR" from "1st quartile" and 
# greater than "1.5 times IQR" from the "3rd quartile"

# which removes off 89 rows. 
Out[26]:
(941, 9)
In [27]:
plt.figure(figsize=(10,8))
sns.boxplot(data=cleandf,orient="h")
plt.show()

# The cleaned data and is free of old outliers. 
# However, new outliers are formed
In [28]:
cleandf.describe().T

# Now there is no significant difference between the 75% value and "max" value, as when observed without removing outliers
Out[28]:
count mean std min 25% 50% 75% max
cement 941.0 275.765250 101.888133 102.00 190.30 255.5 349.00 540.0
slag 941.0 73.860680 86.357928 0.00 0.00 20.0 145.00 342.1
ash 941.0 58.019979 64.363959 0.00 0.00 0.0 118.30 200.1
water 941.0 180.618066 18.748963 127.00 164.90 183.8 192.00 228.0
superplastic 941.0 6.247396 5.340911 0.00 0.00 7.0 10.30 22.1
coarseagg 941.0 974.808289 77.646578 801.00 932.00 968.0 1031.00 1145.0
fineagg 941.0 776.551860 75.075034 594.00 741.00 780.0 822.20 945.0
age 941.0 32.376196 28.558690 1.00 7.00 28.0 28.00 120.0
strength 941.0 34.887641 16.592538 2.33 22.63 33.4 44.64 79.4
In [29]:
data_fin = cleandf.copy()
data_fin.head()
Out[29]:
cement slag ash water superplastic coarseagg fineagg age strength
0 141.3 212.0 0.0 203.5 0.0 971.8 748.5 28 29.89
1 168.9 42.2 124.3 158.3 10.8 1080.8 796.2 14 23.51
2 250.0 0.0 95.7 187.4 5.5 956.9 861.2 28 29.22
3 266.0 114.0 0.0 228.0 0.0 932.0 670.0 28 45.85
4 154.8 183.4 0.0 193.3 9.1 1047.4 696.7 28 18.29
In [30]:
data_fin['coarseagg_perkg_of_fineagg'] = data['coarseagg']/data['fineagg']

# since coarse_agg and fine_agg are mixed as an additional compound to fill in the air gaps,
# we can create a composite data, which is a combination of coarseagg and finagg
# It means that, the amount of coarsgeagg added "per kg" of fineagg
In [31]:
data = data_fin.copy()
data = data.drop({'coarseagg','fineagg'},axis=1)
In [32]:
z = data['strength']
data = data.drop('strength',axis=1)
data['strength']=z
In [33]:
data = data.reset_index()
data.drop({'index'},inplace=True,axis=1)
data.head()
Out[33]:
cement slag ash water superplastic age coarseagg_perkg_of_fineagg strength
0 141.3 212.0 0.0 203.5 0.0 28 1.298330 29.89
1 168.9 42.2 124.3 158.3 10.8 14 1.357448 23.51
2 250.0 0.0 95.7 187.4 5.5 28 1.111124 29.22
3 266.0 114.0 0.0 228.0 0.0 28 1.391045 45.85
4 154.8 183.4 0.0 193.3 9.1 28 1.503373 18.29
In [34]:
# For the complexity of the model, a simple linear model would do.
In [35]:
ss1 = StandardScaler()
data_scaled = ss1.fit_transform(data)
In [36]:
from sklearn.cluster import KMeans
cluster_range = range(3,16)   
cluster_errors = []
for num_clusters in cluster_range:
    clusters = KMeans(num_clusters, n_init = 5,random_state=seed)
    clusters.fit(data_scaled)
    labels = clusters.labels_
    centroids = clusters.cluster_centers_
    cluster_errors.append( clusters.inertia_ )
clusters_df = pd.DataFrame( { "num_clusters":cluster_range, "cluster_errors": cluster_errors } )
clusters_df

# From the below data on interia it is clear that the amount of error reduces significantly from 3 to 8. 
# However, after 8,  the inertia is reducing in very small amounts. 
# Hence, we can take the number of clusters to be 8
Out[36]:
num_clusters cluster_errors
0 3 4957.325685
1 4 4309.993113
2 5 3898.941009
3 6 3616.441448
4 7 3383.037800
5 8 3090.333023
6 9 2922.667031
7 10 2763.261379
8 11 2620.133352
9 12 2502.652659
10 13 2436.289391
11 14 2309.029695
12 15 2258.108558
In [37]:
plt.figure(figsize=(12,6))
plt.plot(clusters_df.num_clusters, clusters_df.cluster_errors, marker = "o" )

# from the below graph it can be seen that the 'arm' bend is around 8. Hence let us try with  8clusters
Out[37]:
[<matplotlib.lines.Line2D at 0x1ef79f08f88>]
In [38]:
cluster = KMeans( n_clusters = 8, random_state = seed )
cluster.fit(data_scaled)
Out[38]:
KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,
       n_clusters=8, n_init=10, n_jobs=None, precompute_distances='auto',
       random_state=10, tol=0.0001, verbose=0)
In [39]:
pd.DataFrame(cluster.cluster_centers_,columns=data.columns)
Out[39]:
cement slag ash water superplastic age coarseagg_perkg_of_fineagg strength
0 1.827938 -0.202363 -0.849063 -0.224333 -0.357855 -0.059225 2.808816 0.966718
1 -0.570946 -0.012127 0.937661 0.648861 0.226899 -0.212674 -0.272337 -0.346929
2 -0.791717 1.361714 -0.888505 0.625995 -0.730773 -0.522656 0.180831 -0.692073
3 1.032841 0.533465 -0.547342 -0.883020 0.956609 0.052397 -0.607144 1.269804
4 0.595541 -0.817042 -0.836880 0.627287 -1.099492 -0.563003 0.162576 -0.669755
5 -0.404638 -0.650872 1.138279 -0.867262 0.781306 -0.549316 -0.063396 -0.429759
6 0.010467 0.113028 -0.827733 1.067291 -1.081901 2.034887 0.004062 0.321848
7 -0.551169 -0.607974 1.035652 -0.773296 0.431355 1.650946 -0.009493 0.752859
In [40]:
prediction=cluster.predict(data_scaled)
data["GROUP"] = prediction
data
Out[40]:
cement slag ash water superplastic age coarseagg_perkg_of_fineagg strength GROUP
0 141.3 212.0 0.0 203.5 0.0 28 1.298330 29.89 2
1 168.9 42.2 124.3 158.3 10.8 14 1.357448 23.51 5
2 250.0 0.0 95.7 187.4 5.5 28 1.111124 29.22 1
3 266.0 114.0 0.0 228.0 0.0 28 1.391045 45.85 2
4 154.8 183.4 0.0 193.3 9.1 28 1.503373 18.29 2
... ... ... ... ... ... ... ... ... ...
936 141.3 212.0 0.0 203.5 0.0 7 1.298330 10.39 2
937 297.2 0.0 117.5 174.8 9.5 3 1.357399 21.91 5
938 135.0 0.0 166.0 180.0 10.0 28 1.193789 13.29 5
939 276.4 116.0 90.3 179.6 8.9 28 1.132500 44.28 1
940 540.0 0.0 0.0 173.0 0.0 7 1.835237 52.61 0

941 rows × 9 columns

CLUSTER ANALYSIS

In [41]:
data.groupby("GROUP").mean()
# Group 0 has the highest cement level, and is higher strength as well
# Group 2 has low cemnt content and low strength also

# Let us see more in details about the clusters
Out[41]:
cement slag ash water superplastic age coarseagg_perkg_of_fineagg strength
GROUP
0 461.911429 56.394286 3.400000 176.414286 4.337143 30.685714 1.769694 50.919429
1 217.623567 72.814013 118.339490 192.777070 7.458599 26.305732 1.220918 29.134268
2 195.141549 191.392958 0.862676 192.348592 2.346479 17.457746 1.301630 23.410493
3 380.943590 119.905128 22.809615 164.071154 11.353846 33.871795 1.161286 55.945705
4 336.411565 3.340136 4.183673 192.372789 0.378231 16.306122 1.298379 23.780612
5 234.559355 17.682581 131.245161 164.366452 10.418065 16.696774 1.258132 27.760645
6 276.831148 83.616393 4.772131 200.618033 0.472131 90.459016 1.270146 40.225082
7 219.637500 21.385227 124.643182 166.127273 8.550000 79.500000 1.267732 47.372841
In [42]:
data.boxplot(by = 'GROUP',  layout=(4,4), figsize=(20, 20))
plt.show()
In [43]:
X = pairwise_distances(data.iloc[:,0:-1])
metrics.silhouette_score(X,cluster.labels_)
# The value is very close to '0' which means that there are over-lapping clusters. 
# However, since the silhouette score isn't negative, we can get releived of the fact that there are no points that a classified 
# under the wrong group
Out[43]:
0.08024577879816629
In [44]:
data.GROUP.value_counts(sort=False)
Out[44]:
0     35
1    157
2    142
3    156
4    147
5    155
6     61
7     88
Name: GROUP, dtype: int64
In [104]:
plt.figure(figsize=(90,65))
sns.lmplot(x='cement',y='strength',data=data,hue='GROUP')
plt.show()

# It can be seen that, Group 4 can predict the strength well (a perfect linear line)
# Group 1, 2, 5, 6, 7 gaussians are highly overlapping with eachother
# group 0 has very high variaance and is scattered. 
# Group 0 & group 3 have high strength and high cement content
# Group 3 line is almost horizontal, which means it is a poor predictor of strength
# Group 2 has low cement and low strength content
<Figure size 6480x4680 with 0 Axes>
In [106]:
plt.figure(figsize=(90,65))
sns.lmplot(x='slag',y='strength',data=data,hue='GROUP')
plt.show()


# Except for group 2, 4 and group 7, almost all the lines are "horizontal", 
# which means "slag" itself is not much of a good predictor

# Group 2 has very high variance. Group 1 is biased towards '0'
<Figure size 6480x4680 with 0 Axes>
In [105]:
plt.figure(figsize=(90,65))
sns.lmplot(x='ash',y='strength',data=data,hue='GROUP')
plt.show()


# Group 3 has high strength 
# Group 3 line is horizontal. Hence it is a bad predictor of strength

# group 1,5,7 have high ash content, however the gaussians over lap eachother. The variance is very high

# Group 4, 6 have high bias towards '0'

# This all the clusters in general have high variance
<Figure size 6480x4680 with 0 Axes>
In [103]:
plt.figure(figsize=(90,65))
sns.lmplot(x='water',y='strength',data=data,hue='GROUP')
plt.show()

# clusters with high water content have low compressive strength.
# Group 5 seems to a better predictor. 

# Group 1, 2, 4, 6 are overlapping clusters. They belong to the "high water" content zone

# Group 0, 3 have high strength and low water content. Howevwer,0&3 overlap eachother
# Group 3 line is almost horizontal, which means it is a bad predictor of strength

# Whereas group 0 & 7 seem to be a good predictor
<Figure size 6480x4680 with 0 Axes>
In [108]:
plt.figure(figsize=(90,65))
sns.lmplot(x='superplastic',y='strength',data=data,hue='GROUP')
plt.show()

# Group 0, 3 are horizontal. Which means they are a very bad predictor of strength

# Group 7 seems to be a good predictor of strength

# Group 1, 5, 2 seem to have very high variance and overlap eachother
<Figure size 6480x4680 with 0 Axes>
In [109]:
plt.figure(figsize=(90,65))
sns.lmplot(x='age',y='strength',data=data,hue='GROUP')
plt.show()

# All the group in the age vs strength predictor have very very high variance, which may result in poor prediction

# But it can bee seen that, higher the age, high the average compressive strength 
<Figure size 6480x4680 with 0 Axes>
In [111]:
plt.figure(figsize=(90,65))
sns.lmplot(x='coarseagg_perkg_of_fineagg',y='strength',data=data,hue='GROUP')
plt.show()

# Group 3, 7, 1, 5 all have almost horizontal lines. Hence they are poor predictors of strength

# Group 6, 0 seems to be a good predictor of strength

# Group 2 and 4 have very high variance and the overlap eachother

# Groups with high strength have high coarse_agg /- kg of fine_agg ratio
# Groups with low coarse_agg/fine_agg ratio have low strength
<Figure size 6480x4680 with 0 Axes>
In [45]:
data.head(10)
Out[45]:
cement slag ash water superplastic age coarseagg_perkg_of_fineagg strength GROUP
0 141.3 212.0 0.0 203.5 0.0 28 1.298330 29.89 2
1 168.9 42.2 124.3 158.3 10.8 14 1.357448 23.51 5
2 250.0 0.0 95.7 187.4 5.5 28 1.111124 29.22 1
3 266.0 114.0 0.0 228.0 0.0 28 1.391045 45.85 2
4 154.8 183.4 0.0 193.3 9.1 28 1.503373 18.29 2
5 255.0 0.0 0.0 192.0 0.0 90 0.941587 21.86 6
6 166.8 250.2 0.0 203.5 0.0 7 1.408605 15.75 2
7 251.4 0.0 118.3 188.5 6.4 56 1.357265 36.64 1
8 296.0 0.0 0.0 192.0 0.0 28 1.418301 21.65 4
9 155.0 184.0 143.0 194.0 9.0 28 1.258941 28.99 1
In [46]:
X = data.iloc[:,0:-2].values
Y = data.iloc[:,-2].values
In [47]:
X_train,X_test,y_train,y_test = train_test_split(X,Y,random_state=seed,test_size=0.3)
ss = StandardScaler()
X_train_scaled = ss.fit_transform(X_train)

LINEAR REGRESSION

In [48]:
lr = LinearRegression()
lr.fit(X_train_scaled,y_train)
X_test_scaled = ss.transform(X_test)
lr.score(X_test_scaled,y_test)
Out[48]:
0.7698899896131519
In [51]:
lr.score(X_train_scaled,y_train)
Out[51]:
0.76668312368894
In [49]:
for i in range(0,len(list(data.columns)[0:-2])):
      print("The coefficient of {} is {:.2f}".format(list(data.columns)[0:-2][i],list(lr.coef_)[i]))

print("\nThe intercept is {0:.2f}".format(lr.intercept_))

# The model doesn't seem to be over fit. Hence A simple linear model is ideal for performing prediction.

# The feature importance obtained accoring to Linear Regresion, cement, slag and age have high importance, 
# however, superplastic and coarseagge_perkg_of_fineagg have least importance
The coefficient of cement is 11.90
The coefficient of slag is 7.72
The coefficient of ash is 4.59
The coefficient of water is -3.50
The coefficient of superplastic is 1.07
The coefficient of age is 8.95
The coefficient of coarseagg_perkg_of_fineagg is -0.30

The intercept is 35.22
In [126]:
y_pred = lr.predict(X_test_scaled)
mse = mean_squared_error
print("The RMSE score is ", np.sqrt(mse(y_pred,y_test)))
print("The R-squared value is ",r2_score(y_pred,y_test))
The RMSE score is  8.156183934604678
The R-squared value is  0.722086962642168

RIDGE

In [127]:
Ridge = Ridge(alpha=20)
Ridge.fit(X=X_train_scaled,y= y_train)
Ridge.score(X_test_scaled,y_test)
Out[127]:
0.7757692628347718
In [136]:
for i in range(0,len(list(data.columns)[0:-2])):
      print("The coefficient of {} is {:.2f}".format(list(data.columns)[0:-2][i],list(Ridge.coef_)[i]))

# The coef_ seems to be "suppressed" when comapred with lineara regression
# Like linear regression, Ridge coeeficients also say that, coarseagg_perkg and superplastic have the least importance

# cement, slag, ash, age, water have high importance
The coefficient of cement is 10.86
The coefficient of slag is 6.77
The coefficient of ash is 3.54
The coefficient of water is -3.29
The coefficient of superplastic is 1.76
The coefficient of age is 8.63
The coefficient of coarseagg_perkg_of_fineagg is -0.07
In [130]:
y_pred = Ridge.predict(X_test_scaled)
mse = mean_squared_error
print("The RMSE score is ", np.sqrt(mse(y_pred,y_test)))
print("The R-squared value is ",r2_score(y_pred,y_test))

# R-squared value is less when compared with simple lineaar regression model
The RMSE score is  8.051315171099834
The R-squared value is  0.7052588413769745

LASSO

In [131]:
lasso = Lasso(alpha=0.5)
lasso.fit(X_train_scaled,y_train)
lasso.score(X_test_scaled,y_test)
Out[131]:
0.7741677860373652
In [135]:
for i in range(0,len(list(data.columns)[0:-2])):
      print("The coefficient of {} is {:.2f}".format(list(data.columns)[0:-2][i],list(lasso.coef_)[i]))
The coefficient of cement is 9.98
The coefficient of slag is 5.75
The coefficient of ash is 2.40
The coefficient of water is -2.95
The coefficient of superplastic is 2.14
The coefficient of age is 8.33
The coefficient of coarseagg_perkg_of_fineagg is 0.00
In [137]:
y_pred = lasso.predict(X_test_scaled)
mse = mean_squared_error
print("The RMSE score is ", np.sqrt(mse(y_pred,y_test)))
print("The R-squared value is ",r2_score(y_pred,y_test))
The RMSE score is  8.080015638127835
The R-squared value is  0.6713076782176639
In [138]:
# Let us try predicting the score after removing the least important columns (coarse_agg/fine_agg & superplastic)
In [143]:
data_rem = data.copy()
data_rem.drop({'superplastic','coarseagg_perkg_of_fineagg','GROUP'},axis=1,inplace=True)
In [144]:
data_rem
Out[144]:
cement slag ash water age strength
0 141.3 212.0 0.0 203.5 28 29.89
1 168.9 42.2 124.3 158.3 14 23.51
2 250.0 0.0 95.7 187.4 28 29.22
3 266.0 114.0 0.0 228.0 28 45.85
4 154.8 183.4 0.0 193.3 28 18.29
... ... ... ... ... ... ...
936 141.3 212.0 0.0 203.5 7 10.39
937 297.2 0.0 117.5 174.8 3 21.91
938 135.0 0.0 166.0 180.0 28 13.29
939 276.4 116.0 90.3 179.6 28 44.28
940 540.0 0.0 0.0 173.0 7 52.61

941 rows × 6 columns

In [165]:
X_rem = data_rem.iloc[:,0:-1]
Y_rem = data_rem.iloc[:,-1]
In [166]:
X_train_rem,X_test_rem,y_train_rem,y_test_rem = train_test_split(X_rem,Y_rem,random_state=seed,test_size=0.3)
ss = StandardScaler()
X_train_scaled = ss.fit_transform(X_train_rem)
In [168]:
lr = LinearRegression()
lr.fit(X_train_scaled,y_train_rem)
X_test_scaled = ss.transform(X_test_rem)
print("The linear regression score is: ",lr.score(X_test_scaled,y_test_rem))
The linear regression score is:  0.7661598201751117
In [152]:
y_pred = lr.predict(X_test_scaled)
mse = mean_squared_error
print("The RMSE score is ", np.sqrt(mse(y_pred,y_test_rem)))
print("The R-squared value is ",r2_score(y_pred,y_test_rem))
The RMSE score is  8.22202557578397
The R-squared value is  0.7137860326505019
In [153]:
# It is clear that, even after removing 2 columns, there is not much difference in the r2_Score or the RMSE value
In [156]:
Ridge.fit(X=X_train_scaled,y= y_train_rem)
print("The Ridge regression score is: ",Ridge.score(X_test_scaled,y_test_rem))
y_pred = Ridge.predict(X_test_scaled)
mse = mean_squared_error
print("The RMSE score is ", np.sqrt(mse(y_pred,y_test_rem)))
print("The R-squared value is ",r2_score(y_pred,y_test_rem))
The Ridge regression score is:  0.7709752691414978
The RMSE score is  8.13692749047857
The R-squared value is  0.6920758980156998
In [159]:
lasso.fit(X_train_scaled,y_train_rem)
print("The Lasso regression score is: ",lasso.score(X_test_scaled,y_test_rem))
y_pred = lasso.predict(X_test_scaled)
mse = mean_squared_error
print("The RMSE score is ", np.sqrt(mse(y_pred,y_test_rem)))
print("The R-squared value is ",r2_score(y_pred,y_test_rem))
The Lasso regression score is:  0.7688630619554074
The RMSE score is  8.174363254179184
The R-squared value is  0.656242814100501
In [160]:
# Let us find the feature importance via decision tree also

DECISION TREE

In [183]:
dtree = DecisionTreeRegressor(max_depth=6,random_state=seed)
dtree.fit(X_train_scaled,y_train)
dtree.score(X_test_scaled,y_test)
Out[183]:
0.8275972034590776
In [184]:
y_pred = dtree.predict(X_test_scaled)
mse = mean_squared_error
print("The RMSE score is ", np.sqrt(mse(y_pred,y_test)))
print("The R-squared value is ",r2_score(y_pred,y_test))

# Decision tree by far, has the highest R-squared value and score
The RMSE score is  7.059783913503827
The R-squared value is  0.7882355821632734
In [185]:
dtree.feature_importances_
Out[185]:
array([0.39048105, 0.10109264, 0.00481133, 0.11897449, 0.02171958,
       0.35284252, 0.0100784 ])
In [195]:
for i in range(0,len(list(data.columns)[0:-2])):
      print("The feature importance of {} is {:.4f}".format(list(data.columns)[i],dtree.feature_importances_[i]))
        
# In addition to coarseagg_perkg_of_fineagg and superplastic, 'ash' also does not have much of an importance
The feature importance of cement is 0.3905
The feature importance of slag is 0.1011
The feature importance of ash is 0.0048
The feature importance of water is 0.1190
The feature importance of superplastic is 0.0217
The feature importance of age is 0.3528
The feature importance of coarseagg_perkg_of_fineagg is 0.0101
In [197]:
data_rem_dtree=data_rem.copy()
data_rem_dtree.drop('ash',axis=1,inplace=True)
In [200]:
X_rem = data_rem_dtree.iloc[:,0:-1]
Y_rem = data_rem_dtree.iloc[:,-1]
X_train_rem,X_test_rem,y_train_rem,y_test_rem = train_test_split(X_rem,Y_rem,random_state=seed,test_size=0.3)
ss = StandardScaler()
X_train_scaled_rem = ss.fit_transform(X_train_rem)
X_test_scaled_rem = ss.transform(X_test_rem)
dtree = DecisionTreeRegressor(max_depth=6,random_state=seed)
dtree.fit(X_train_scaled_rem,y_train_rem)
dtree.score(X_test_scaled_rem,y_test_rem)
Out[200]:
0.8185156774262545
In [201]:
y_pred = dtree.predict(X_test_scaled_rem)
mse = mean_squared_error
print("The RMSE score is ", np.sqrt(mse(y_pred,y_test_rem)))
print("The R-squared value is ",r2_score(y_pred,y_test_rem))

# There is not a huge difference in score after dropping '3' attributes
The RMSE score is  7.243339020095123
The R-squared value is  0.7711440856159515
In [ ]:
# The target column in this dataset has continious variables. Hence this requires a "regression" model "only"

# The suitable algorithms are:
# Linear Regression
# Ridge
# Lasso
# Decision Tree Regressor
# Support Vector Regressor
# KNN Regressor
# Adaboost regression
# Gradient boosting regressor
# Random Forest regressor

LINEAR REGRESSION

In [412]:
X = data.iloc[:,0:-2].values
Y = data.iloc[:,-2].values
X_train,X_test,y_train,y_test = train_test_split(X,Y,random_state=seed,test_size=0.3)
ss = StandardScaler()
X_train_scaled = ss.fit_transform(X_train)
X_test_scaled = ss.transform(X_test)
In [413]:
lr = LinearRegression()
lr.fit(X_train_scaled,y_train)
y_pred = lr.predict(X_test_scaled)
print("The linear regression score is: ",lr.score(X_test_scaled,y_test_rem))
mse = mean_squared_error
print("The RMSE score is ", np.sqrt(mse(y_pred,y_test)))
print("The R-squared value is ",r2_score(y_pred,y_test))
The linear regression score is:  0.7698899896131519
The RMSE score is  8.156183934604678
The R-squared value is  0.722086962642168
In [414]:
scores = []
RMSE = []
r2= []
kf = KFold(n_splits=10, shuffle=False)
for train_index, test_index in kf.split(X,Y):
    X_train, X_test, y_train, y_test = X[train_index], X[test_index], Y[train_index], Y[test_index]
    ss_kf = StandardScaler()
    X_train_scaled = ss_kf.fit_transform(X_train)
    X_test_scaled = ss_kf.transform(X_test)
    lr = LinearRegression()
    lr.fit(X_train_scaled, y_train)
    y_pred = lr.predict(X_test_scaled)
    scores.append(lr.score(X_test_scaled, y_test))
    RMSE.append(np.sqrt(mse(y_pred, y_test)))
    r2.append(r2_score(y_pred,y_test))
In [415]:
print("The mean score is: ",np.mean(scores))
print("The standard deviation is: ",np.std(scores))

print("\nThe mean RMSE is: ",np.mean(RMSE))
print("The standard deviation is: ",np.std(RMSE))

print("\nThe mean r2_score is: ",np.mean(r2))
print("The standard deviation is: ",np.std(r2))
The mean score is:  0.7543197584259589
The standard deviation is:  0.052381093843459084

The mean RMSE is:  8.008431840654229
The standard deviation is:  0.7793264656587777

The mean r2_score is:  0.6775137041592925
The standard deviation is:  0.07055370333059073
In [435]:
model= "Linear Regression"
print("{:.2f}% to {:.2f}%".format((np.mean(scores)-2*np.std(scores))*100,(np.mean(scores)+2*np.std(scores))*100))
print("{:.2f} to {:.2f}".format((np.mean(RMSE)-2*np.std(RMSE)),(np.mean(RMSE)+2*np.std(RMSE))))
print("{:.2f} to {:.2f}".format((np.mean(r2)-2*np.std(r2)),(np.mean(r2)+2*np.std(r2))))
64.96% to 85.91%
6.45 to 9.57
0.54 to 0.82
In [436]:
a = pd.DataFrame({'Model perfomance at 95% confidence': model,'Score':'64.96% to 85.91%','RMSE':'6.45 to 9.57','R-squared':'0.54 to 0.82'} ,index=[1])
a
Out[436]:
Model perfomance at 95% confidence Score RMSE R-squared
1 Linear Regression 64.96% to 85.91% 6.45 to 9.57 0.54 to 0.82

RIDGE

In [322]:
param_grid = {
    'alpha':[0.1,0.5,1,2,5,10,20,25,40,50,100,200,400,500,1000],
    'tol':[0.001],
    'solver':['auto', 'svd', 'cholesky', 'lsqr', 'sparse_cg', 'sag', 'saga'],
    'random_state':[seed]
}
In [324]:
grid = GridSearchCV(Ridge(), param_grid, refit = True, verbose = 3) 
grid.fit(X_train_scaled,y_train)
Fitting 5 folds for each of 35 candidates, totalling 175 fits
[CV] alpha=0.1, random_state=10, solver=auto, tol=0.001 ..............
[CV]  alpha=0.1, random_state=10, solver=auto, tol=0.001, score=0.751, total=   0.1s
[CV] alpha=0.1, random_state=10, solver=auto, tol=0.001 ..............
[CV]  alpha=0.1, random_state=10, solver=auto, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=auto, tol=0.001 ..............
[CV]  alpha=0.1, random_state=10, solver=auto, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=auto, tol=0.001 ..............
[CV]  alpha=0.1, random_state=10, solver=auto, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=auto, tol=0.001 ..............
[CV]  alpha=0.1, random_state=10, solver=auto, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=svd, tol=0.001 ...............
[CV]  alpha=0.1, random_state=10, solver=svd, tol=0.001, score=0.751, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=svd, tol=0.001 ...............
[CV]  alpha=0.1, random_state=10, solver=svd, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=svd, tol=0.001 ...............
[CV]  alpha=0.1, random_state=10, solver=svd, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=svd, tol=0.001 ...............
[CV]  alpha=0.1, random_state=10, solver=svd, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=svd, tol=0.001 ...............
[CV]  alpha=0.1, random_state=10, solver=svd, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=cholesky, tol=0.001 ..........
[CV]  alpha=0.1, random_state=10, solver=cholesky, tol=0.001, score=0.751, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=cholesky, tol=0.001 ..........
[CV]  alpha=0.1, random_state=10, solver=cholesky, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=cholesky, tol=0.001 ..........
[CV]  alpha=0.1, random_state=10, solver=cholesky, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=cholesky, tol=0.001 ..........
[CV]  alpha=0.1, random_state=10, solver=cholesky, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=cholesky, tol=0.001 ..........
[CV]  alpha=0.1, random_state=10, solver=cholesky, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=lsqr, tol=0.001 ..............
[CV]  alpha=0.1, random_state=10, solver=lsqr, tol=0.001, score=0.751, total=   0.0s
[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    0.0s remaining:    0.0s
[Parallel(n_jobs=1)]: Done   2 out of   2 | elapsed:    0.0s remaining:    0.0s
[CV] alpha=0.1, random_state=10, solver=lsqr, tol=0.001 ..............
[CV]  alpha=0.1, random_state=10, solver=lsqr, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=lsqr, tol=0.001 ..............
[CV]  alpha=0.1, random_state=10, solver=lsqr, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=lsqr, tol=0.001 ..............
[CV]  alpha=0.1, random_state=10, solver=lsqr, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=lsqr, tol=0.001 ..............
[CV]  alpha=0.1, random_state=10, solver=lsqr, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=sparse_cg, tol=0.001 .........
[CV]  alpha=0.1, random_state=10, solver=sparse_cg, tol=0.001, score=0.751, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=sparse_cg, tol=0.001 .........
[CV]  alpha=0.1, random_state=10, solver=sparse_cg, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=sparse_cg, tol=0.001 .........
[CV]  alpha=0.1, random_state=10, solver=sparse_cg, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=sparse_cg, tol=0.001 .........
[CV]  alpha=0.1, random_state=10, solver=sparse_cg, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=sparse_cg, tol=0.001 .........
[CV]  alpha=0.1, random_state=10, solver=sparse_cg, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=sag, tol=0.001 ...............
[CV]  alpha=0.1, random_state=10, solver=sag, tol=0.001, score=0.751, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=sag, tol=0.001 ...............
[CV]  alpha=0.1, random_state=10, solver=sag, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=sag, tol=0.001 ...............
[CV]  alpha=0.1, random_state=10, solver=sag, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=sag, tol=0.001 ...............
[CV]  alpha=0.1, random_state=10, solver=sag, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=sag, tol=0.001 ...............
[CV]  alpha=0.1, random_state=10, solver=sag, tol=0.001, score=0.736, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=saga, tol=0.001 ..............
[CV]  alpha=0.1, random_state=10, solver=saga, tol=0.001, score=0.751, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=saga, tol=0.001 ..............
[CV]  alpha=0.1, random_state=10, solver=saga, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=saga, tol=0.001 ..............
[CV]  alpha=0.1, random_state=10, solver=saga, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=saga, tol=0.001 ..............
[CV]  alpha=0.1, random_state=10, solver=saga, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=0.1, random_state=10, solver=saga, tol=0.001 ..............
[CV]  alpha=0.1, random_state=10, solver=saga, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=auto, tol=0.001 ..............
[CV]  alpha=0.5, random_state=10, solver=auto, tol=0.001, score=0.751, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=auto, tol=0.001 ..............
[CV]  alpha=0.5, random_state=10, solver=auto, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=auto, tol=0.001 ..............
[CV]  alpha=0.5, random_state=10, solver=auto, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=auto, tol=0.001 ..............
[CV]  alpha=0.5, random_state=10, solver=auto, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=auto, tol=0.001 ..............
[CV]  alpha=0.5, random_state=10, solver=auto, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=svd, tol=0.001 ...............
[CV]  alpha=0.5, random_state=10, solver=svd, tol=0.001, score=0.751, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=svd, tol=0.001 ...............
[CV]  alpha=0.5, random_state=10, solver=svd, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=svd, tol=0.001 ...............
[CV]  alpha=0.5, random_state=10, solver=svd, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=svd, tol=0.001 ...............
[CV]  alpha=0.5, random_state=10, solver=svd, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=svd, tol=0.001 ...............
[CV]  alpha=0.5, random_state=10, solver=svd, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=cholesky, tol=0.001 ..........
[CV]  alpha=0.5, random_state=10, solver=cholesky, tol=0.001, score=0.751, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=cholesky, tol=0.001 ..........
[CV]  alpha=0.5, random_state=10, solver=cholesky, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=cholesky, tol=0.001 ..........
[CV]  alpha=0.5, random_state=10, solver=cholesky, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=cholesky, tol=0.001 ..........
[CV]  alpha=0.5, random_state=10, solver=cholesky, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=cholesky, tol=0.001 ..........
[CV]  alpha=0.5, random_state=10, solver=cholesky, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=lsqr, tol=0.001 ..............
[CV]  alpha=0.5, random_state=10, solver=lsqr, tol=0.001, score=0.751, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=lsqr, tol=0.001 ..............
[CV]  alpha=0.5, random_state=10, solver=lsqr, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=lsqr, tol=0.001 ..............
[CV]  alpha=0.5, random_state=10, solver=lsqr, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=lsqr, tol=0.001 ..............
[CV]  alpha=0.5, random_state=10, solver=lsqr, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=lsqr, tol=0.001 ..............
[CV]  alpha=0.5, random_state=10, solver=lsqr, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=sparse_cg, tol=0.001 .........
[CV]  alpha=0.5, random_state=10, solver=sparse_cg, tol=0.001, score=0.751, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=sparse_cg, tol=0.001 .........
[CV]  alpha=0.5, random_state=10, solver=sparse_cg, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=sparse_cg, tol=0.001 .........
[CV]  alpha=0.5, random_state=10, solver=sparse_cg, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=sparse_cg, tol=0.001 .........
[CV]  alpha=0.5, random_state=10, solver=sparse_cg, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=sparse_cg, tol=0.001 .........
[CV]  alpha=0.5, random_state=10, solver=sparse_cg, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=sag, tol=0.001 ...............
[CV]  alpha=0.5, random_state=10, solver=sag, tol=0.001, score=0.751, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=sag, tol=0.001 ...............
[CV]  alpha=0.5, random_state=10, solver=sag, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=sag, tol=0.001 ...............
[CV]  alpha=0.5, random_state=10, solver=sag, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=sag, tol=0.001 ...............
[CV]  alpha=0.5, random_state=10, solver=sag, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=sag, tol=0.001 ...............
[CV]  alpha=0.5, random_state=10, solver=sag, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=saga, tol=0.001 ..............
[CV]  alpha=0.5, random_state=10, solver=saga, tol=0.001, score=0.751, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=saga, tol=0.001 ..............
[CV]  alpha=0.5, random_state=10, solver=saga, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=saga, tol=0.001 ..............
[CV]  alpha=0.5, random_state=10, solver=saga, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=saga, tol=0.001 ..............
[CV]  alpha=0.5, random_state=10, solver=saga, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=0.5, random_state=10, solver=saga, tol=0.001 ..............
[CV]  alpha=0.5, random_state=10, solver=saga, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=1, random_state=10, solver=auto, tol=0.001 ................
[CV]  alpha=1, random_state=10, solver=auto, tol=0.001, score=0.751, total=   0.0s
[CV] alpha=1, random_state=10, solver=auto, tol=0.001 ................
[CV]  alpha=1, random_state=10, solver=auto, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=1, random_state=10, solver=auto, tol=0.001 ................
[CV]  alpha=1, random_state=10, solver=auto, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=1, random_state=10, solver=auto, tol=0.001 ................
[CV]  alpha=1, random_state=10, solver=auto, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=1, random_state=10, solver=auto, tol=0.001 ................
[CV]  alpha=1, random_state=10, solver=auto, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=1, random_state=10, solver=svd, tol=0.001 .................
[CV]  alpha=1, random_state=10, solver=svd, tol=0.001, score=0.751, total=   0.0s
[CV] alpha=1, random_state=10, solver=svd, tol=0.001 .................
[CV]  alpha=1, random_state=10, solver=svd, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=1, random_state=10, solver=svd, tol=0.001 .................
[CV]  alpha=1, random_state=10, solver=svd, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=1, random_state=10, solver=svd, tol=0.001 .................
[CV]  alpha=1, random_state=10, solver=svd, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=1, random_state=10, solver=svd, tol=0.001 .................
[CV]  alpha=1, random_state=10, solver=svd, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=1, random_state=10, solver=cholesky, tol=0.001 ............
[CV]  alpha=1, random_state=10, solver=cholesky, tol=0.001, score=0.751, total=   0.0s
[CV] alpha=1, random_state=10, solver=cholesky, tol=0.001 ............
[CV]  alpha=1, random_state=10, solver=cholesky, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=1, random_state=10, solver=cholesky, tol=0.001 ............
[CV]  alpha=1, random_state=10, solver=cholesky, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=1, random_state=10, solver=cholesky, tol=0.001 ............
[CV]  alpha=1, random_state=10, solver=cholesky, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=1, random_state=10, solver=cholesky, tol=0.001 ............
[CV]  alpha=1, random_state=10, solver=cholesky, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=1, random_state=10, solver=lsqr, tol=0.001 ................
[CV]  alpha=1, random_state=10, solver=lsqr, tol=0.001, score=0.751, total=   0.0s
[CV] alpha=1, random_state=10, solver=lsqr, tol=0.001 ................
[CV]  alpha=1, random_state=10, solver=lsqr, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=1, random_state=10, solver=lsqr, tol=0.001 ................
[CV]  alpha=1, random_state=10, solver=lsqr, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=1, random_state=10, solver=lsqr, tol=0.001 ................
[CV]  alpha=1, random_state=10, solver=lsqr, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=1, random_state=10, solver=lsqr, tol=0.001 ................
[CV]  alpha=1, random_state=10, solver=lsqr, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=1, random_state=10, solver=sparse_cg, tol=0.001 ...........
[CV]  alpha=1, random_state=10, solver=sparse_cg, tol=0.001, score=0.751, total=   0.0s
[CV] alpha=1, random_state=10, solver=sparse_cg, tol=0.001 ...........
[CV]  alpha=1, random_state=10, solver=sparse_cg, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=1, random_state=10, solver=sparse_cg, tol=0.001 ...........
[CV]  alpha=1, random_state=10, solver=sparse_cg, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=1, random_state=10, solver=sparse_cg, tol=0.001 ...........
[CV]  alpha=1, random_state=10, solver=sparse_cg, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=1, random_state=10, solver=sparse_cg, tol=0.001 ...........
[CV]  alpha=1, random_state=10, solver=sparse_cg, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=1, random_state=10, solver=sag, tol=0.001 .................
[CV]  alpha=1, random_state=10, solver=sag, tol=0.001, score=0.751, total=   0.0s
[CV] alpha=1, random_state=10, solver=sag, tol=0.001 .................
[CV]  alpha=1, random_state=10, solver=sag, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=1, random_state=10, solver=sag, tol=0.001 .................
[CV]  alpha=1, random_state=10, solver=sag, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=1, random_state=10, solver=sag, tol=0.001 .................
[CV]  alpha=1, random_state=10, solver=sag, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=1, random_state=10, solver=sag, tol=0.001 .................
[CV]  alpha=1, random_state=10, solver=sag, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=1, random_state=10, solver=saga, tol=0.001 ................
[CV]  alpha=1, random_state=10, solver=saga, tol=0.001, score=0.751, total=   0.0s
[CV] alpha=1, random_state=10, solver=saga, tol=0.001 ................
[CV]  alpha=1, random_state=10, solver=saga, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=1, random_state=10, solver=saga, tol=0.001 ................
[CV]  alpha=1, random_state=10, solver=saga, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=1, random_state=10, solver=saga, tol=0.001 ................
[CV]  alpha=1, random_state=10, solver=saga, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=1, random_state=10, solver=saga, tol=0.001 ................
[CV]  alpha=1, random_state=10, solver=saga, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=2, random_state=10, solver=auto, tol=0.001 ................
[CV]  alpha=2, random_state=10, solver=auto, tol=0.001, score=0.751, total=   0.0s
[CV] alpha=2, random_state=10, solver=auto, tol=0.001 ................
[CV]  alpha=2, random_state=10, solver=auto, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=2, random_state=10, solver=auto, tol=0.001 ................
[CV]  alpha=2, random_state=10, solver=auto, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=2, random_state=10, solver=auto, tol=0.001 ................
[CV]  alpha=2, random_state=10, solver=auto, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=2, random_state=10, solver=auto, tol=0.001 ................
[CV]  alpha=2, random_state=10, solver=auto, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=2, random_state=10, solver=svd, tol=0.001 .................
[CV]  alpha=2, random_state=10, solver=svd, tol=0.001, score=0.751, total=   0.0s
[CV] alpha=2, random_state=10, solver=svd, tol=0.001 .................
[CV]  alpha=2, random_state=10, solver=svd, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=2, random_state=10, solver=svd, tol=0.001 .................
[CV]  alpha=2, random_state=10, solver=svd, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=2, random_state=10, solver=svd, tol=0.001 .................
[CV]  alpha=2, random_state=10, solver=svd, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=2, random_state=10, solver=svd, tol=0.001 .................
[CV]  alpha=2, random_state=10, solver=svd, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=2, random_state=10, solver=cholesky, tol=0.001 ............
[CV]  alpha=2, random_state=10, solver=cholesky, tol=0.001, score=0.751, total=   0.0s
[CV] alpha=2, random_state=10, solver=cholesky, tol=0.001 ............
[CV]  alpha=2, random_state=10, solver=cholesky, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=2, random_state=10, solver=cholesky, tol=0.001 ............
[CV]  alpha=2, random_state=10, solver=cholesky, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=2, random_state=10, solver=cholesky, tol=0.001 ............
[CV]  alpha=2, random_state=10, solver=cholesky, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=2, random_state=10, solver=cholesky, tol=0.001 ............
[CV]  alpha=2, random_state=10, solver=cholesky, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=2, random_state=10, solver=lsqr, tol=0.001 ................
[CV]  alpha=2, random_state=10, solver=lsqr, tol=0.001, score=0.752, total=   0.0s
[CV] alpha=2, random_state=10, solver=lsqr, tol=0.001 ................
[CV]  alpha=2, random_state=10, solver=lsqr, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=2, random_state=10, solver=lsqr, tol=0.001 ................
[CV]  alpha=2, random_state=10, solver=lsqr, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=2, random_state=10, solver=lsqr, tol=0.001 ................
[CV]  alpha=2, random_state=10, solver=lsqr, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=2, random_state=10, solver=lsqr, tol=0.001 ................
[CV]  alpha=2, random_state=10, solver=lsqr, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=2, random_state=10, solver=sparse_cg, tol=0.001 ...........
[CV]  alpha=2, random_state=10, solver=sparse_cg, tol=0.001, score=0.751, total=   0.0s
[CV] alpha=2, random_state=10, solver=sparse_cg, tol=0.001 ...........
[CV]  alpha=2, random_state=10, solver=sparse_cg, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=2, random_state=10, solver=sparse_cg, tol=0.001 ...........
[CV]  alpha=2, random_state=10, solver=sparse_cg, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=2, random_state=10, solver=sparse_cg, tol=0.001 ...........
[CV]  alpha=2, random_state=10, solver=sparse_cg, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=2, random_state=10, solver=sparse_cg, tol=0.001 ...........
[CV]  alpha=2, random_state=10, solver=sparse_cg, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=2, random_state=10, solver=sag, tol=0.001 .................
[CV]  alpha=2, random_state=10, solver=sag, tol=0.001, score=0.752, total=   0.0s
[CV] alpha=2, random_state=10, solver=sag, tol=0.001 .................
[CV]  alpha=2, random_state=10, solver=sag, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=2, random_state=10, solver=sag, tol=0.001 .................
[CV]  alpha=2, random_state=10, solver=sag, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=2, random_state=10, solver=sag, tol=0.001 .................
[CV]  alpha=2, random_state=10, solver=sag, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=2, random_state=10, solver=sag, tol=0.001 .................
[CV]  alpha=2, random_state=10, solver=sag, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=2, random_state=10, solver=saga, tol=0.001 ................
[CV]  alpha=2, random_state=10, solver=saga, tol=0.001, score=0.752, total=   0.0s
[CV] alpha=2, random_state=10, solver=saga, tol=0.001 ................
[CV]  alpha=2, random_state=10, solver=saga, tol=0.001, score=0.772, total=   0.0s
[CV] alpha=2, random_state=10, solver=saga, tol=0.001 ................
[CV]  alpha=2, random_state=10, solver=saga, tol=0.001, score=0.759, total=   0.0s
[CV] alpha=2, random_state=10, solver=saga, tol=0.001 ................
[CV]  alpha=2, random_state=10, solver=saga, tol=0.001, score=0.813, total=   0.0s
[CV] alpha=2, random_state=10, solver=saga, tol=0.001 ................
[CV]  alpha=2, random_state=10, solver=saga, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=5, random_state=10, solver=auto, tol=0.001 ................
[CV]  alpha=5, random_state=10, solver=auto, tol=0.001, score=0.752, total=   0.0s
[CV] alpha=5, random_state=10, solver=auto, tol=0.001 ................
[CV]  alpha=5, random_state=10, solver=auto, tol=0.001, score=0.773, total=   0.0s
[CV] alpha=5, random_state=10, solver=auto, tol=0.001 ................
[CV]  alpha=5, random_state=10, solver=auto, tol=0.001, score=0.758, total=   0.0s
[CV] alpha=5, random_state=10, solver=auto, tol=0.001 ................
[CV]  alpha=5, random_state=10, solver=auto, tol=0.001, score=0.812, total=   0.0s
[CV] alpha=5, random_state=10, solver=auto, tol=0.001 ................
[CV]  alpha=5, random_state=10, solver=auto, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=5, random_state=10, solver=svd, tol=0.001 .................
[CV]  alpha=5, random_state=10, solver=svd, tol=0.001, score=0.752, total=   0.0s
[CV] alpha=5, random_state=10, solver=svd, tol=0.001 .................
[CV]  alpha=5, random_state=10, solver=svd, tol=0.001, score=0.773, total=   0.0s
[CV] alpha=5, random_state=10, solver=svd, tol=0.001 .................
[CV]  alpha=5, random_state=10, solver=svd, tol=0.001, score=0.758, total=   0.0s
[CV] alpha=5, random_state=10, solver=svd, tol=0.001 .................
[CV]  alpha=5, random_state=10, solver=svd, tol=0.001, score=0.812, total=   0.0s
[CV] alpha=5, random_state=10, solver=svd, tol=0.001 .................
[CV]  alpha=5, random_state=10, solver=svd, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=5, random_state=10, solver=cholesky, tol=0.001 ............
[CV]  alpha=5, random_state=10, solver=cholesky, tol=0.001, score=0.752, total=   0.0s
[CV] alpha=5, random_state=10, solver=cholesky, tol=0.001 ............
[CV]  alpha=5, random_state=10, solver=cholesky, tol=0.001, score=0.773, total=   0.0s
[CV] alpha=5, random_state=10, solver=cholesky, tol=0.001 ............
[CV]  alpha=5, random_state=10, solver=cholesky, tol=0.001, score=0.758, total=   0.0s
[CV] alpha=5, random_state=10, solver=cholesky, tol=0.001 ............
[CV]  alpha=5, random_state=10, solver=cholesky, tol=0.001, score=0.812, total=   0.0s
[CV] alpha=5, random_state=10, solver=cholesky, tol=0.001 ............
[CV]  alpha=5, random_state=10, solver=cholesky, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=5, random_state=10, solver=lsqr, tol=0.001 ................
[CV]  alpha=5, random_state=10, solver=lsqr, tol=0.001, score=0.752, total=   0.0s
[CV] alpha=5, random_state=10, solver=lsqr, tol=0.001 ................
[CV]  alpha=5, random_state=10, solver=lsqr, tol=0.001, score=0.773, total=   0.0s
[CV] alpha=5, random_state=10, solver=lsqr, tol=0.001 ................
[CV]  alpha=5, random_state=10, solver=lsqr, tol=0.001, score=0.758, total=   0.0s
[CV] alpha=5, random_state=10, solver=lsqr, tol=0.001 ................
[CV]  alpha=5, random_state=10, solver=lsqr, tol=0.001, score=0.812, total=   0.0s
[CV] alpha=5, random_state=10, solver=lsqr, tol=0.001 ................
[CV]  alpha=5, random_state=10, solver=lsqr, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=5, random_state=10, solver=sparse_cg, tol=0.001 ...........
[CV]  alpha=5, random_state=10, solver=sparse_cg, tol=0.001, score=0.752, total=   0.0s
[CV] alpha=5, random_state=10, solver=sparse_cg, tol=0.001 ...........
[CV]  alpha=5, random_state=10, solver=sparse_cg, tol=0.001, score=0.773, total=   0.0s
[CV] alpha=5, random_state=10, solver=sparse_cg, tol=0.001 ...........
[CV]  alpha=5, random_state=10, solver=sparse_cg, tol=0.001, score=0.758, total=   0.0s
[CV] alpha=5, random_state=10, solver=sparse_cg, tol=0.001 ...........
[CV]  alpha=5, random_state=10, solver=sparse_cg, tol=0.001, score=0.812, total=   0.0s
[CV] alpha=5, random_state=10, solver=sparse_cg, tol=0.001 ...........
[CV]  alpha=5, random_state=10, solver=sparse_cg, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=5, random_state=10, solver=sag, tol=0.001 .................
[CV]  alpha=5, random_state=10, solver=sag, tol=0.001, score=0.752, total=   0.0s
[CV] alpha=5, random_state=10, solver=sag, tol=0.001 .................
[CV]  alpha=5, random_state=10, solver=sag, tol=0.001, score=0.773, total=   0.0s
[CV] alpha=5, random_state=10, solver=sag, tol=0.001 .................
[CV]  alpha=5, random_state=10, solver=sag, tol=0.001, score=0.758, total=   0.0s
[CV] alpha=5, random_state=10, solver=sag, tol=0.001 .................
[CV]  alpha=5, random_state=10, solver=sag, tol=0.001, score=0.812, total=   0.0s
[CV] alpha=5, random_state=10, solver=sag, tol=0.001 .................
[CV]  alpha=5, random_state=10, solver=sag, tol=0.001, score=0.735, total=   0.0s
[CV] alpha=5, random_state=10, solver=saga, tol=0.001 ................
[CV]  alpha=5, random_state=10, solver=saga, tol=0.001, score=0.752, total=   0.0s
[CV] alpha=5, random_state=10, solver=saga, tol=0.001 ................
[CV]  alpha=5, random_state=10, solver=saga, tol=0.001, score=0.773, total=   0.0s
[CV] alpha=5, random_state=10, solver=saga, tol=0.001 ................
[CV]  alpha=5, random_state=10, solver=saga, tol=0.001, score=0.758, total=   0.0s
[CV] alpha=5, random_state=10, solver=saga, tol=0.001 ................
[CV]  alpha=5, random_state=10, solver=saga, tol=0.001, score=0.812, total=   0.0s
[CV] alpha=5, random_state=10, solver=saga, tol=0.001 ................
[CV]  alpha=5, random_state=10, solver=saga, tol=0.001, score=0.735, total=   0.0s
[Parallel(n_jobs=1)]: Done 175 out of 175 | elapsed:    1.0s finished
Out[324]:
GridSearchCV(cv=None, error_score=nan,
             estimator=Ridge(alpha=1.0, copy_X=True, fit_intercept=True,
                             max_iter=None, normalize=False, random_state=None,
                             solver='auto', tol=0.001),
             iid='deprecated', n_jobs=None,
             param_grid={'alpha': [0.1, 0.5, 1, 2, 5], 'random_state': [10],
                         'solver': ['auto', 'svd', 'cholesky', 'lsqr',
                                    'sparse_cg', 'sag', 'saga'],
                         'tol': [0.001]},
             pre_dispatch='2*n_jobs', refit=True, return_train_score=False,
             scoring=None, verbose=3)
In [332]:
print(grid.best_params_)
print(grid.best_score_)
print(grid.best_estimator_)
{'alpha': 2, 'random_state': 10, 'solver': 'sag', 'tol': 0.001}
0.7661163587907367
Ridge(alpha=2, copy_X=True, fit_intercept=True, max_iter=None, normalize=False,
      random_state=10, solver='sag', tol=0.001)
In [437]:
ridge = Ridge(alpha=2, copy_X=True, fit_intercept=True, max_iter=None, normalize=False,
      random_state=10, solver='sag', tol=0.001)
In [438]:
ridge.fit(X_train_scaled,y_train)
print("The score on train data: ",ridge.score(X_train_scaled,y_train))
print("\nThe score on test data: ",ridge.score(X_test_scaled,y_test))
The score on train data:  0.7735123281956078

The score on test data:  0.7302650463418574
In [439]:
y_pred = ridge.predict(X_test_scaled)
print("The RMSE score is ", np.sqrt(mse(y_pred,y_test)))
print("The R-squared value is ",r2_score(y_pred,y_test))

# The r-squared value is very less. This cannot be a suitable model
The RMSE score is  8.664582057553247
The R-squared value is  0.5639314051774779
In [440]:
scores = []
RMSE = []
r2= []
kf = KFold(n_splits=10, shuffle=False)
for train_index, test_index in kf.split(X,Y):
    X_train, X_test, y_train, y_test = X[train_index], X[test_index], Y[train_index], Y[test_index]
    ss_kf = StandardScaler()
    X_train_scaled = ss_kf.fit_transform(X_train)
    X_test_scaled = ss_kf.transform(X_test)
    ridge = Ridge(alpha=2, copy_X=True, fit_intercept=True, max_iter=None, normalize=False,
      random_state=10, solver='sag', tol=0.001)
    ridge.fit(X_train_scaled, y_train)
    y_pred = ridge.predict(X_test_scaled)
    scores.append(ridge.score(X_test_scaled, y_test))
    RMSE.append(np.sqrt(mse(y_pred, y_test)))
    r2.append(r2_score(y_pred,y_test))
In [441]:
print("The mean score is: ",np.mean(scores))
print("The standard deviation is: ",np.std(scores))

print("\nThe mean RMSE is: ",np.mean(RMSE))
print("The standard deviation is: ",np.std(RMSE))

print("\nThe mean r2_score is: ",np.mean(r2))
print("The standard deviation is: ",np.std(r2))
The mean score is:  0.7543240560864403
The standard deviation is:  0.05223064993283098

The mean RMSE is:  8.008833681547875
The standard deviation is:  0.7798619046440464

The mean r2_score is:  0.6754286058253263
The standard deviation is:  0.07072216178360125
In [442]:
model= "Ridge Regression"
print("{:.2f}% to {:.2f}%".format((np.mean(scores)-2*np.std(scores))*100,(np.mean(scores)+2*np.std(scores))*100))
print("{:.2f} to {:.2f}".format((np.mean(RMSE)-2*np.std(RMSE)),(np.mean(RMSE)+2*np.std(RMSE))))
print("{:.2f} to {:.2f}".format((np.mean(r2)-2*np.std(r2)),(np.mean(r2)+2*np.std(r2))))
64.99% to 85.88%
6.45 to 9.57
0.53 to 0.82
In [443]:
b = pd.DataFrame({'Model perfomance at 95% confidence': model,'Score':'64.99% to 85.88%','RMSE':'6.45 to 9.57','R-squared':'0.53 to 0.82'} ,index=[2])
b
Out[443]:
Model perfomance at 95% confidence Score RMSE R-squared
2 Ridge Regression 64.99% to 85.88% 6.45 to 9.57 0.53 to 0.82

LASSO

In [347]:
param_grid = {
    'alpha':[0.1,0.5,1,2,5,10,20,25,50,75,100,150,200,300,400,500,750,1000],
    'max_iter':[1000],
    'tol':[0.0001,0.001,0.01,0.1,1.0],
    'random_state':[seed],
    'selection':['cyclic','random']
}
In [348]:
grid = GridSearchCV(Lasso(), param_grid, refit = True, verbose = 3) 
grid.fit(X_train_scaled,y_train)
Fitting 5 folds for each of 180 candidates, totalling 900 fits
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.754, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.773, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.756, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.812, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.736, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.754, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.773, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.756, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.812, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.736, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.754, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.774, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.755, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.811, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.736, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.754, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.774, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.754, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.809, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.735, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.752, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.772, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.753, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.803, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.736, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    0.0s remaining:    0.0s
[Parallel(n_jobs=1)]: Done   2 out of   2 | elapsed:    0.0s remaining:    0.0s
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.754, total=   0.1s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.773, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.756, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.812, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.736, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.754, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.773, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.756, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.812, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.736, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.754, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.774, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.755, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.811, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.736, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.750, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.775, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.741, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.804, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.728, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.460, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.478, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.483, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.484, total=   0.0s
[CV] alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=0.1, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.372, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.752, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.769, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.738, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.796, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.729, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.752, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.769, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.738, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.796, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.729, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.753, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.769, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.739, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.796, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.730, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.754, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.769, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.741, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.796, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.730, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.751, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.767, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.742, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.792, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.733, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.752, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.769, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.738, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.796, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.729, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.752, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.769, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.738, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.796, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.729, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.750, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.768, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.735, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.794, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.728, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.742, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.766, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.724, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.787, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.720, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.460, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.472, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.468, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.460, total=   0.0s
[CV] alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=0.5, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.371, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.724, total=   0.1s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.744, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.702, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.755, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.702, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.724, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.745, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.702, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.755, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.702, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.727, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.746, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.703, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.757, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.705, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.737, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.751, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.715, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.766, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.712, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.739, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.752, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.720, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.767, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.718, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.724, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.744, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.701, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.755, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.702, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.724, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.744, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.701, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.755, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.701, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.722, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.743, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.700, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.755, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.701, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.718, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.742, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.696, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.755, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.698, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.451, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.456, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.444, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.433, total=   0.0s
[CV] alpha=1, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=1, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.364, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.675, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.690, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.634, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.688, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.655, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.675, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.690, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.635, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.688, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.655, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.675, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.690, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.635, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.688, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.655, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.681, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.691, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.641, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.690, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.661, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.687, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.691, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.643, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.686, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.667, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.675, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.690, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.634, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.688, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.655, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.675, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.690, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.634, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.688, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.654, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.674, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.690, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.633, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.688, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.654, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.671, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.690, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.629, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.687, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.650, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.424, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.412, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.378, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.380, total=   0.0s
[CV] alpha=2, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=2, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.341, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.393, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.392, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.313, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.369, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=0.387, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.393, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.392, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.313, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.369, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=0.387, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.393, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.392, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.313, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.369, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=0.387, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.393, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.392, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.313, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.369, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=0.387, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.393, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.390, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.313, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.368, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=0.387, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.393, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.392, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.313, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.369, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=0.387, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.393, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.392, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.313, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.369, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.001, score=0.387, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.393, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.392, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.313, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.369, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.01, score=0.387, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.393, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.392, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.144, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.369, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=0.1, score=0.387, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.223, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.201, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.144, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.170, total=   0.0s
[CV] alpha=5, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=5, max_iter=1000, random_state=10, selection=random, tol=1.0, score=0.191, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=10, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=10, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=20, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=20, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=25, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=25, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=50, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=50, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=75, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=75, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=100, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=100, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=150, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=150, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=200, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=200, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=300, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=300, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=400, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=400, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=500, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=500, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=750, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=750, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.001 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.01 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.1 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=1.0 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=cyclic, tol=1.0, score=-0.000, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.012, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.002, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.041, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.029, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.0001 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.0001, score=-0.000, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.012, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.002, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.041, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.029, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.001 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.001, score=-0.000, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.012, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.002, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.041, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.029, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.01 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.01, score=-0.000, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.012, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.002, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.041, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.029, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.1 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=0.1, score=-0.000, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.012, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.002, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.041, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.029, total=   0.0s
[CV] alpha=1000, max_iter=1000, random_state=10, selection=random, tol=1.0 
[CV]  alpha=1000, max_iter=1000, random_state=10, selection=random, tol=1.0, score=-0.000, total=   0.0s
[Parallel(n_jobs=1)]: Done 900 out of 900 | elapsed:    6.5s finished
Out[348]:
GridSearchCV(cv=None, error_score=nan,
             estimator=Lasso(alpha=1.0, copy_X=True, fit_intercept=True,
                             max_iter=1000, normalize=False, positive=False,
                             precompute=False, random_state=None,
                             selection='cyclic', tol=0.0001, warm_start=False),
             iid='deprecated', n_jobs=None,
             param_grid={'alpha': [0.1, 0.5, 1, 2, 5, 10, 20, 25, 50, 75, 100,
                                   150, 200, 300, 400, 500, 750, 1000],
                         'max_iter': [1000], 'random_state': [10],
                         'selection': ['cyclic', 'random'],
                         'tol': [0.0001, 0.001, 0.01, 0.1, 1.0]},
             pre_dispatch='2*n_jobs', refit=True, return_train_score=False,
             scoring=None, verbose=3)
In [349]:
print(grid.best_params_)
print(grid.best_score_)
print(grid.best_estimator_)
{'alpha': 0.1, 'max_iter': 1000, 'random_state': 10, 'selection': 'cyclic', 'tol': 0.0001}
0.7660362826393158
Lasso(alpha=0.1, copy_X=True, fit_intercept=True, max_iter=1000,
      normalize=False, positive=False, precompute=False, random_state=10,
      selection='cyclic', tol=0.0001, warm_start=False)
In [444]:
lasso = Lasso(alpha=0.1, copy_X=True, fit_intercept=True, max_iter=1000,
      normalize=False, positive=False, precompute=False, random_state=10,
      selection='cyclic', tol=0.0001, warm_start=False)
In [445]:
lasso.fit(X_train_scaled,y_train)
print("The score on train data: ",lasso.score(X_train_scaled,y_train))
print("\nThe score on test data: ",lasso.score(X_test_scaled,y_test))
The score on train data:  0.773015076737731

The score on test data:  0.7324464985069783
In [446]:
y_pred = lasso.predict(X_test_scaled)
print("The RMSE score is ", np.sqrt(mse(y_pred,y_test)))
print("The R-squared value is ",r2_score(y_pred,y_test))

# The R-squared value is very high. Not a good model
The RMSE score is  8.629473996755182
The R-squared value is  0.5544851902565268
In [447]:
scores = []
RMSE = []
r2= []
kf = KFold(n_splits=10, shuffle=False)
for train_index, test_index in kf.split(X,Y):
    X_train, X_test, y_train, y_test = X[train_index], X[test_index], Y[train_index], Y[test_index]
    ss_kf = StandardScaler()
    X_train_scaled = ss_kf.fit_transform(X_train)
    X_test_scaled = ss_kf.transform(X_test)
    model = Lasso(alpha=0.1, copy_X=True, fit_intercept=True, max_iter=1000,
      normalize=False, positive=False, precompute=False, random_state=10,
      selection='cyclic', tol=0.0001, warm_start=False)
    model.fit(X_train_scaled, y_train)
    y_pred = model.predict(X_test_scaled)
    scores.append(model.score(X_test_scaled, y_test))
    RMSE.append(np.sqrt(mse(y_pred, y_test)))
    r2.append(r2_score(y_pred,y_test))
In [448]:
print("The mean score is: ",np.mean(scores))
print("The standard deviation is: ",np.std(scores))

print("\nThe mean RMSE is: ",np.mean(RMSE))
print("The standard deviation is: ",np.std(RMSE))

print("\nThe mean r2_score is: ",np.mean(r2))
print("The standard deviation is: ",np.std(r2))
The mean score is:  0.7545798813384772
The standard deviation is:  0.05120172725903837

The mean RMSE is:  8.008166530394938
The standard deviation is:  0.7856899877070387

The mean r2_score is:  0.6663138695052322
The standard deviation is:  0.07170258820199997
In [449]:
model= "Lasso Regression"
print("{:.2f}% to {:.2f}%".format((np.mean(scores)-2*np.std(scores))*100,(np.mean(scores)+2*np.std(scores))*100))
print("{:.2f} to {:.2f}".format((np.mean(RMSE)-2*np.std(RMSE)),(np.mean(RMSE)+2*np.std(RMSE))))
print("{:.2f} to {:.2f}".format((np.mean(r2)-2*np.std(r2)),(np.mean(r2)+2*np.std(r2))))
65.22% to 85.70%
6.44 to 9.58
0.52 to 0.81
In [450]:
c = pd.DataFrame({'Model perfomance at 95% confidence': model,'Score':'65.22% to 85.70%','RMSE':'6.44 to 9.58','R-squared':'0.52 to 0.81'} ,index=[3])
c
Out[450]:
Model perfomance at 95% confidence Score RMSE R-squared
3 Lasso Regression 65.22% to 85.70% 6.44 to 9.58 0.52 to 0.81

DECISION TREE REGRESSOR

In [387]:
param_grid = {
    'criterion':["mse", "friedman_mse", "mae"],
    'max_depth':[1,2,3,4,5,6,7,8],
    'min_samples_split':[2,3,4,5],
    'min_samples_leaf':[1,2,3],
    'random_state':[seed]
}
In [388]:
grid = GridSearchCV(DecisionTreeRegressor(), param_grid, refit = True, verbose = 3) 
grid.fit(X_train_scaled,y_train)
Fitting 5 folds for each of 288 candidates, totalling 1440 fits
[CV] criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.092, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.227, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.269, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.252, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.158, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.092, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.227, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.269, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.252, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.158, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.092, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.227, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.269, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.252, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.158, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.092, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.227, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.269, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.252, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.158, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.092, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.227, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.269, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.252, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.158, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.092, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.227, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.269, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.252, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.158, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.092, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.227, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.269, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.252, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.158, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.092, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.227, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.269, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.252, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.158, total=   0.0s
[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    0.0s remaining:    0.0s
[Parallel(n_jobs=1)]: Done   2 out of   2 | elapsed:    0.0s remaining:    0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.092, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.227, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.269, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.252, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.158, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.092, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.227, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.269, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.252, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.158, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.092, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.227, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.269, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.252, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.158, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.092, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.227, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.269, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.252, total=   0.0s
[CV] criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.158, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.334, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.453, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.527, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.497, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.325, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.334, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.453, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.527, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.497, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.325, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.334, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.453, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.527, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.497, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.325, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.334, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.453, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.527, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.497, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.325, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.334, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.453, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.527, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.497, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.325, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.334, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.453, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.527, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.497, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.325, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.334, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.453, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.527, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.497, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.325, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.334, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.453, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.527, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.497, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.325, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.334, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.453, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.527, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.497, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.325, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.334, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.453, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.527, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.497, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.325, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.334, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.453, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.527, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.497, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.325, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.334, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.453, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.527, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.497, total=   0.0s
[CV] criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.325, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.574, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.569, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.647, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.501, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.574, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.569, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.647, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.501, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.574, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.569, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.647, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.501, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.574, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.569, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.647, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.501, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.574, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.569, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.647, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.501, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.574, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.569, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.647, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.501, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.574, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.569, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.647, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.501, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.574, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.569, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.647, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.501, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.574, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.569, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.647, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.501, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.574, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.569, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.647, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.501, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.574, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.569, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.647, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.501, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.574, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.569, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.647, total=   0.0s
[CV] criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.501, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.613, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.664, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.694, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.780, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.666, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.613, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.664, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.694, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.780, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.666, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.613, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.664, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.694, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.780, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.666, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.613, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.664, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.694, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.780, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.666, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.613, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.664, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.694, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.780, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.666, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.613, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.664, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.694, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.780, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.666, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.613, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.664, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.694, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.780, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.666, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.613, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.664, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.694, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.780, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.666, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.613, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.664, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.694, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.780, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.666, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.613, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.664, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.694, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.780, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.666, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.613, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.664, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.694, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.780, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.666, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.613, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.664, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.694, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.780, total=   0.0s
[CV] criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.666, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.674, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.767, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.794, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.822, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.708, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.674, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.767, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.794, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.822, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.708, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.674, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.767, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.794, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.822, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.708, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.674, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.759, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.794, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.819, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.708, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.674, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.749, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.782, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.823, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.707, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.674, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.749, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.782, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.823, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.707, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.674, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.749, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.782, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.823, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.707, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.674, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.740, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.782, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.821, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.707, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.674, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.748, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.790, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.821, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.712, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.674, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.748, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.790, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.821, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.712, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.674, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.748, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.790, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.821, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.712, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.674, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.748, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.790, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.821, total=   0.0s
[CV] criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.712, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.752, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.798, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.848, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.817, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.731, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.752, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.791, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.849, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.818, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.731, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.752, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.791, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.853, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.818, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.732, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.752, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.787, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.852, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.815, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.725, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.757, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.776, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.852, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.817, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.705, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.757, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.776, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.852, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.817, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.705, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.757, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.776, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.852, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.817, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.705, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.757, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.769, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.851, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.815, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.701, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.759, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.791, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.836, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.816, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.708, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.759, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.791, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.836, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.816, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.708, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.759, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.791, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.836, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.816, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.708, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.759, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.791, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.836, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.816, total=   0.0s
[CV] criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.708, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.780, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.803, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.841, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.843, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.765, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.785, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.826, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.843, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.843, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.766, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.780, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.815, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.844, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.839, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.764, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.785, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.826, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.843, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.841, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.756, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.794, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.792, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.844, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.846, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.742, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.794, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.792, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.844, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.846, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.742, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.794, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.792, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.844, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.846, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.742, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.793, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.808, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.842, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.844, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.737, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.787, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.825, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.825, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.847, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.749, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.787, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.825, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.825, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.847, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.749, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.787, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.825, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.825, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.847, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.749, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.787, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.825, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.825, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.847, total=   0.0s
[CV] criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.749, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.757, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.853, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.844, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.866, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.795, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.757, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.841, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.850, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.862, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.788, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.756, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.840, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.848, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.872, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.791, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.762, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.850, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.848, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.871, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.779, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.765, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.839, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.850, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.874, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.779, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.765, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.839, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.850, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.874, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.779, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.765, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.839, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.850, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.874, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.779, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.763, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.844, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.849, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.871, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.765, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.755, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.863, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.825, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.883, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.769, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.755, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.863, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.825, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.883, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.769, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.755, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.863, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.825, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.883, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.769, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.755, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.863, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.825, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.883, total=   0.0s
[CV] criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.769, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.092, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.227, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.269, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.252, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.158, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.092, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.227, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.269, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.252, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.158, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.092, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.227, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.269, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.252, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.158, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.092, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.227, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.269, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.252, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.158, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.092, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.227, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.269, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.252, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.158, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.092, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.227, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.269, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.252, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.158, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.092, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.227, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.269, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.252, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.158, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.092, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.227, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.269, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.252, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.158, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.092, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.227, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.269, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.252, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.158, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.092, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.227, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.269, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.252, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.158, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.092, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.227, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.269, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.252, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.158, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.092, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.227, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.269, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.252, total=   0.0s
[CV] criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.158, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.334, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.453, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.527, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.497, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.325, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.334, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.453, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.527, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.497, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.325, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.334, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.453, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.527, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.497, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.325, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.334, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.453, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.527, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.497, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.325, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.334, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.453, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.527, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.497, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.325, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.334, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.453, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.527, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.497, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.325, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.334, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.453, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.527, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.497, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.325, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.334, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.453, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.527, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.497, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.325, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.334, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.453, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.527, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.497, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.325, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.334, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.453, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.527, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.497, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.325, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.334, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.453, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.527, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.497, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.325, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.334, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.453, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.527, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.497, total=   0.0s
[CV] criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.325, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.574, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.569, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.637, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.647, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.501, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.574, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.569, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.637, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.647, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.501, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.574, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.569, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.637, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.647, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.501, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.574, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.569, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.637, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.647, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.501, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.574, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.569, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.637, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.647, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.501, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.574, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.569, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.637, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.647, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.501, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.574, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.569, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.637, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.647, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.501, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.574, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.569, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.637, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.647, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.501, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.574, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.569, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.637, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.647, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.501, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.574, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.569, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.637, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.647, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.501, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.574, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.569, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.637, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.647, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.501, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.574, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.569, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.637, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.647, total=   0.0s
[CV] criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.501, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.613, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.664, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.694, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.780, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.666, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.613, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.664, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.694, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.780, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.666, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.613, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.664, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.694, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.780, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.666, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.613, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.664, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.694, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.780, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.666, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.613, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.664, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.694, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.780, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.666, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.613, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.664, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.694, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.780, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.666, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.613, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.664, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.694, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.780, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.666, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.613, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.664, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.694, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.780, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.666, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.613, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.664, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.694, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.780, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.666, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.613, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.664, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.694, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.780, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.666, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.613, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.664, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.694, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.780, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.666, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.613, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.664, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.694, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.780, total=   0.0s
[CV] criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.666, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.674, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.767, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.794, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.822, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.708, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.674, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.767, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.794, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.822, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.708, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.674, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.767, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.794, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.822, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.708, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.674, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.759, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.794, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.819, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.708, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.674, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.763, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.782, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.823, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.707, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.674, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.763, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.782, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.823, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.707, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.674, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.763, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.782, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.823, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.707, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.674, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.755, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.782, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.821, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.707, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.674, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.748, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.790, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.821, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.712, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.674, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.748, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.790, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.821, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.712, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.674, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.748, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.790, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.821, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.712, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.674, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.748, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.790, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.821, total=   0.0s
[CV] criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.712, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.752, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.790, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.849, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.817, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.731, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.752, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.794, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.849, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.818, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.731, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.752, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.794, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.853, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.818, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.732, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.752, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.787, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.852, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.815, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.725, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.757, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.776, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.852, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.817, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.705, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.757, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.776, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.852, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.817, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.705, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.757, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.776, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.852, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.817, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.705, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.757, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.785, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.851, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.815, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.701, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.759, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.791, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.836, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.816, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.708, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.759, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.791, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.836, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.816, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.708, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.759, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.791, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.836, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.816, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.708, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.759, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.791, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.836, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.816, total=   0.0s
[CV] criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.708, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.777, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.827, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.845, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.842, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.766, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.785, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.824, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.843, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.843, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.768, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.780, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.815, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.847, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.839, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.765, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.785, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.826, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.843, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.841, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.757, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.795, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.825, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.844, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.846, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.744, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.795, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.825, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.844, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.846, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.744, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.795, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.825, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.844, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.846, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.744, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.793, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.817, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.842, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.844, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.738, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.787, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.825, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.825, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.847, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.749, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.787, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.825, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.825, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.847, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.749, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.787, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.825, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.825, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.847, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.749, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.787, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.825, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.825, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.847, total=   0.0s
[CV] criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.749, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.759, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.849, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.849, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.869, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.797, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.761, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.841, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.849, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.867, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.789, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.756, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.848, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.849, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.872, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.792, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.762, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.850, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.848, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.871, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.781, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.765, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.839, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.850, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.874, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.775, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.765, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.839, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.850, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.874, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.775, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.765, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.839, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.850, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.874, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.775, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.764, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.861, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.849, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.871, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.766, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.755, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.852, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.825, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.883, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.769, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.755, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.852, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.825, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.883, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.769, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.755, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.852, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.825, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.883, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.769, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.755, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.852, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.825, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.883, total=   0.0s
[CV] criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=friedman_mse, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.769, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.306, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.223, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.224, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.263, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.029, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.306, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.223, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.224, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.263, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.029, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.306, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.223, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.224, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.263, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.029, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.306, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.223, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.224, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.263, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.029, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.306, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.223, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.224, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.263, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.029, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.306, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.223, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.224, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.263, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.029, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.306, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.223, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.224, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.263, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.029, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.306, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.223, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.224, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.263, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.029, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.306, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.223, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.224, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.263, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.029, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.306, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.223, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.224, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.263, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.029, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.306, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.223, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.224, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.263, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.029, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.306, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.223, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.224, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.263, total=   0.0s
[CV] criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=1, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.029, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.443, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.436, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.517, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.502, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.295, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.443, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.436, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.517, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.502, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.295, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.443, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.436, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.517, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.502, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.295, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.443, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.436, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.517, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.502, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.295, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.443, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.436, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.517, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.502, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.295, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.443, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.436, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.517, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.502, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.295, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.443, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.436, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.517, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.502, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.295, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.443, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.436, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.517, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.502, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.295, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.443, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.436, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.517, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.502, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.295, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.443, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.436, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.517, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.502, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.295, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.443, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.436, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.517, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.502, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.295, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.443, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.436, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.517, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.502, total=   0.0s
[CV] criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=2, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.295, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.519, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.533, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.645, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.450, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.519, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.533, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.645, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.450, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.519, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.533, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.645, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.450, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.519, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.533, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.645, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.450, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.519, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.533, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.645, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.450, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.519, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.533, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.645, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.450, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.519, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.533, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.645, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.450, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.519, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.533, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.645, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.450, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.519, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.533, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.645, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.450, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.519, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.533, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.645, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.450, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.519, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.533, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.645, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.450, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.519, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.533, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.637, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.645, total=   0.0s
[CV] criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=3, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.450, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.591, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.640, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.714, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.718, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.622, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.591, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.640, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.714, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.718, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.622, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.591, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.640, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.714, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.718, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.622, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.591, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.640, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.714, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.718, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.622, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.591, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.640, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.714, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.730, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.622, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.591, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.640, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.714, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.730, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.622, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.591, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.640, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.714, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.730, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.622, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.591, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.640, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.714, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.730, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.622, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.591, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.640, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.714, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.730, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.622, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.591, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.640, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.714, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.730, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.622, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.591, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.640, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.714, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.730, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.622, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.591, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.640, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.714, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.730, total=   0.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.622, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.652, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.695, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.745, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.748, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.695, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.652, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.695, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.745, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.748, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.695, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.652, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.695, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.745, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.748, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.694, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.652, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.695, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.747, total=   0.1s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.748, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.694, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.652, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.683, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.757, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.739, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.704, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.652, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.683, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.757, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.739, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.704, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.652, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.683, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.757, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.739, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.704, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.652, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.683, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.757, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.741, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.704, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.598, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.682, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.757, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.745, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.699, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.598, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.682, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.757, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.745, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.699, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.598, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.682, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.757, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.745, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.699, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.598, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.682, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.757, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.745, total=   0.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.699, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.706, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.750, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.801, total=   0.1s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.779, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.766, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.707, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.750, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.801, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.779, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.766, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.707, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.773, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.801, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.780, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.766, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.716, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.757, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.802, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.780, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.766, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.711, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.738, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.808, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.774, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.768, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.711, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.738, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.808, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.774, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.768, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.711, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.738, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.808, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.774, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.768, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.719, total=   0.1s
[CV] criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.732, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.809, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.779, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.769, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.665, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.759, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.795, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.776, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.770, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.665, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.759, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.795, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.776, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.770, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.665, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.759, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.795, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.776, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.770, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.665, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.759, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.795, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.776, total=   0.0s
[CV] criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.770, total=   0.1s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.749, total=   0.1s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.785, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.824, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.807, total=   0.1s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.781, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.739, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.768, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.826, total=   0.1s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.817, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.782, total=   0.1s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.747, total=   0.1s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.767, total=   0.1s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.819, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.797, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.782, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.745, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.775, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.818, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.819, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.781, total=   0.1s
[CV] criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.748, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.770, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.829, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.809, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.787, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.748, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.770, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.829, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.809, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.787, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.748, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.770, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.829, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.809, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.787, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.759, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.772, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.827, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.813, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.783, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.700, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.776, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.817, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.807, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.784, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.700, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.776, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.817, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.807, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.784, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.700, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.776, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.817, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.807, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.784, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.700, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.776, total=   0.1s
[CV] criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.817, total=   0.1s
[CV] criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.807, total=   0.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.784, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.799, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.813, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.803, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.853, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=2, random_state=10, score=0.758, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.802, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.786, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.802, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.841, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, random_state=10, score=0.757, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.790, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.792, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.797, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.834, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=4, random_state=10, score=0.760, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.794, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.797, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.798, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.852, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=5, random_state=10, score=0.758, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.799, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.762, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.797, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.849, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=2, random_state=10, score=0.771, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.799, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.762, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.797, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.849, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=3, random_state=10, score=0.771, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.799, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.762, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.797, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.849, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=4, random_state=10, score=0.771, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.811, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.799, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.796, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.840, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=2, min_samples_split=5, random_state=10, score=0.782, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.740, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.796, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.784, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.831, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=2, random_state=10, score=0.772, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.740, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.796, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.784, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.831, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=3, random_state=10, score=0.772, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.740, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.796, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.784, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.831, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=4, random_state=10, score=0.772, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.740, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.796, total=   0.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.784, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.831, total=   0.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=3, min_samples_split=5, random_state=10, score=0.772, total=   0.1s
[Parallel(n_jobs=1)]: Done 1440 out of 1440 | elapsed:   25.9s finished
Out[388]:
GridSearchCV(cv=None, error_score=nan,
             estimator=DecisionTreeRegressor(ccp_alpha=0.0, criterion='mse',
                                             max_depth=None, max_features=None,
                                             max_leaf_nodes=None,
                                             min_impurity_decrease=0.0,
                                             min_impurity_split=None,
                                             min_samples_leaf=1,
                                             min_samples_split=2,
                                             min_weight_fraction_leaf=0.0,
                                             presort='deprecated',
                                             random_state=None,
                                             splitter='best'),
             iid='deprecated', n_jobs=None,
             param_grid={'criterion': ['mse', 'friedman_mse', 'mae'],
                         'max_depth': [1, 2, 3, 4, 5, 6, 7, 8],
                         'min_samples_leaf': [1, 2, 3],
                         'min_samples_split': [2, 3, 4, 5],
                         'random_state': [10]},
             pre_dispatch='2*n_jobs', refit=True, return_train_score=False,
             scoring=None, verbose=3)
In [389]:
print(grid.best_params_)
print(grid.best_score_)
print(grid.best_estimator_)
{'criterion': 'friedman_mse', 'max_depth': 8, 'min_samples_leaf': 1, 'min_samples_split': 2, 'random_state': 10}
0.824444067559725
DecisionTreeRegressor(ccp_alpha=0.0, criterion='friedman_mse', max_depth=8,
                      max_features=None, max_leaf_nodes=None,
                      min_impurity_decrease=0.0, min_impurity_split=None,
                      min_samples_leaf=1, min_samples_split=2,
                      min_weight_fraction_leaf=0.0, presort='deprecated',
                      random_state=10, splitter='best')
In [451]:
dtree = DecisionTreeRegressor(ccp_alpha=0.0, criterion='friedman_mse', max_depth=8,
                      max_features=None, max_leaf_nodes=None,
                      min_impurity_decrease=0.0, min_impurity_split=None,
                      min_samples_leaf=1, min_samples_split=4,
                      min_weight_fraction_leaf=0.0, presort='deprecated',
                      random_state=10, splitter='best')
In [452]:
dtree.fit(X_train_scaled,y_train)
print("The score on train data: ",dtree.score(X_train_scaled,y_train))
print("\nThe score on test data: ",dtree.score(X_test_scaled,y_test))
The score on train data:  0.9431828598345041

The score on test data:  0.867421404786551
In [453]:
y_pred = dtree.predict(X_test_scaled)
print("The RMSE score is ", np.sqrt(mse(y_pred,y_test)))
print("The R-squared value is ",r2_score(y_pred,y_test))

# By far, decision tree has the best R-squared value and the lowest RMSE value
The RMSE score is  6.0745723836372605
The R-squared value is  0.8579713115526507
In [454]:
scores = []
RMSE = []
r2= []
kf = KFold(n_splits=10, shuffle=False)
for train_index, test_index in kf.split(X,Y):
    X_train, X_test, y_train, y_test = X[train_index], X[test_index], Y[train_index], Y[test_index]
    ss_kf = StandardScaler()
    X_train_scaled = ss_kf.fit_transform(X_train)
    X_test_scaled = ss_kf.transform(X_test)
    model = DecisionTreeRegressor(ccp_alpha=0.0, criterion='friedman_mse', max_depth=8,
                      max_features=None, max_leaf_nodes=None,
                      min_impurity_decrease=0.0, min_impurity_split=None,
                      min_samples_leaf=1, min_samples_split=4,
                      min_weight_fraction_leaf=0.0, presort='deprecated',
                      random_state=10, splitter='best')
    model.fit(X_train_scaled, y_train)
    y_pred = model.predict(X_test_scaled)
    scores.append(model.score(X_test_scaled, y_test))
    RMSE.append(np.sqrt(mse(y_pred, y_test)))
    r2.append(r2_score(y_pred,y_test))
In [455]:
print("The mean score is: ",np.mean(scores))
print("The standard deviation is: ",np.std(scores))

print("\nThe mean RMSE is: ",np.mean(RMSE))
print("The standard deviation is: ",np.std(RMSE))

print("\nThe mean r2_score is: ",np.mean(r2))
print("The standard deviation is: ",np.std(r2))
The mean score is:  0.8500374700779542
The standard deviation is:  0.03693117466628787

The mean RMSE is:  6.2320518155280125
The standard deviation is:  0.5137811447625409

The mean r2_score is:  0.8391561348313834
The standard deviation is:  0.03744945873000117
In [456]:
model= "Decision Tree Regressor"
print("{:.2f}% to {:.2f}%".format((np.mean(scores)-2*np.std(scores))*100,(np.mean(scores)+2*np.std(scores))*100))
print("{:.2f} to {:.2f}".format((np.mean(RMSE)-2*np.std(RMSE)),(np.mean(RMSE)+2*np.std(RMSE))))
print("{:.2f} to {:.2f}".format((np.mean(r2)-2*np.std(r2)),(np.mean(r2)+2*np.std(r2))))
77.62% to 92.39%
5.20 to 7.26
0.76 to 0.91
In [457]:
d = pd.DataFrame({'Model perfomance at 95% confidence': model,'Score':'77.62% to 92.39%',
                  'RMSE':'5.20 to 7.26','R-squared':'0.76 to 0.91'} ,index=[4])
d
Out[457]:
Model perfomance at 95% confidence Score RMSE R-squared
4 Decision Tree Regressor 77.62% to 92.39% 5.20 to 7.26 0.76 to 0.91
In [469]:
param_grid= {
    'kernel':['linear', 'poly', 'rbf', 'sigmoid'],
    'degree':[2,3],
    'gamma':['scale','auto'],
    'coef0':[0.0],
    'tol':[0.001,0.01,0.1,0.0001,1],
    'C':[0.1,0.5,1,5,10,25,50,75,100,200,350,500,750,800,1000],
    'epsilon':[0.1,0.01,0.5,1],
}
In [470]:
grid = GridSearchCV(SVR(), param_grid, refit = True, verbose = 3) 
grid.fit(X_train_scaled,y_train)
Fitting 5 folds for each of 4800 candidates, totalling 24000 fits
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.722, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.772, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    0.0s remaining:    0.0s
[Parallel(n_jobs=1)]: Done   2 out of   2 | elapsed:    0.0s remaining:    0.0s
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.722, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.772, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.722, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.722, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.772, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.719, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.714, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.058, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.070, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=-0.027, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.062, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.079, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.058, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.070, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=-0.027, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.062, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.079, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.058, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.070, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=-0.027, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.062, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.079, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.058, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.070, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=-0.027, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.062, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.079, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.059, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.069, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=-0.033, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.063, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.077, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.261, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.217, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.151, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.238, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.230, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.261, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.217, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.238, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.230, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.261, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.216, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.151, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.238, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.229, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.261, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.217, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.238, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.230, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.260, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.212, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.144, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.242, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.227, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.361, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.361, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.361, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.422, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.361, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.461, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.354, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.422, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.722, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.772, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.722, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.772, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.722, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.722, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.772, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.719, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.714, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.058, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.069, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=-0.027, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.063, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.079, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.058, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.069, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=-0.027, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.063, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.079, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.058, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.069, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=-0.027, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.064, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.078, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.058, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.069, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=-0.027, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.063, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.079, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.060, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.068, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=-0.033, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.065, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.077, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.260, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.217, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.151, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.238, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.230, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.261, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.217, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.238, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.230, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.261, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.216, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.151, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.238, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.230, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.260, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.217, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.238, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.230, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.260, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.212, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.145, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.241, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.227, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.421, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.360, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.425, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.421, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.360, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.425, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.464, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.422, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.361, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.425, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.421, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.360, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.425, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.461, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.353, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.427, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.422, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.721, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.714, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.721, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.714, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.721, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.714, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.721, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.714, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.761, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.724, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.776, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.716, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.058, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.071, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=-0.027, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.062, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.078, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.058, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.071, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=-0.027, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.062, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.078, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.058, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.070, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=-0.027, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.062, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.078, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.058, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.071, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=-0.027, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.062, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.078, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.059, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.071, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=-0.033, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.063, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.077, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.261, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.217, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.151, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.238, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.261, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.217, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.238, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.261, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.217, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.150, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.238, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.261, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.217, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.238, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.260, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.211, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.144, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.238, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.227, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.361, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.361, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.362, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.422, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.361, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.423, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.461, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.354, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.421, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.721, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.714, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.721, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.714, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.721, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.714, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.721, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.714, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.761, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.724, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.776, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.716, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.058, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.070, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=-0.027, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.063, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.078, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.058, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.070, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=-0.027, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.063, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.078, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.059, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.070, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=-0.028, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.063, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.078, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.058, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.070, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=-0.027, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.063, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.078, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.059, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.071, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=-0.034, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.064, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.077, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.261, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.218, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.237, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.261, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.218, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.151, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.237, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.261, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.218, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.237, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.261, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.218, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.237, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.260, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.212, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.144, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.237, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.227, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.421, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.360, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.426, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.421, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.360, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.426, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.422, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.360, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.426, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.422, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.421, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.360, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.426, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.462, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.422, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.353, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.427, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.421, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.743, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.722, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.776, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.059, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.072, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=-0.029, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.063, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.079, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.059, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.072, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=-0.029, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.063, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.079, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.059, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.071, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=-0.030, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.063, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.079, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.059, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.072, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=-0.029, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.063, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.079, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.059, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.071, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=-0.028, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.065, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.076, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.260, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.218, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.150, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.242, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.229, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.260, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.218, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.150, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.242, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.229, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.260, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.218, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.150, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.242, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.229, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.260, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.218, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.150, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.242, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.261, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.214, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.144, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.244, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.226, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.459, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.428, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.364, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.459, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.428, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.364, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.424, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.459, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.429, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.364, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.425, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.459, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.428, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.364, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.456, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.425, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.360, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.425, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.743, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.722, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.776, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.059, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.071, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=-0.030, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.064, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.079, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.059, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.071, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=-0.030, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.064, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.079, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.059, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.070, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=-0.028, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.064, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.079, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.059, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.071, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=-0.030, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.064, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.079, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.060, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.070, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=-0.029, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.064, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.076, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.260, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.218, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.241, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.260, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.218, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.241, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.260, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.219, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.151, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.241, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.230, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.260, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.218, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.241, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.229, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.261, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.215, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.145, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.244, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.226, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.460, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.427, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.363, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.427, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.460, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.427, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.363, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.426, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.459, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.427, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.364, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.426, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.424, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.460, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.427, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.363, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.427, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.457, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.423, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.360, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.424, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.423, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.715, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.715, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.755, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.715, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.715, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.717, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.715, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.059, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.071, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=-0.025, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.063, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.081, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.059, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.071, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=-0.025, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.063, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.081, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.059, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.071, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=-0.025, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.063, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.081, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.059, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.071, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=-0.025, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.063, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.081, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.060, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.067, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=-0.030, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.063, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.076, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.263, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.221, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.244, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.228, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.263, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.221, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.244, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.228, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.263, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.221, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.244, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.228, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.263, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.221, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.244, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.228, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.262, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.217, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.144, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.245, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.225, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.459, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.431, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.365, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.421, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.426, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.459, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.431, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.365, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.421, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.426, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.458, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.431, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.365, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.422, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.426, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.459, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.431, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.365, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.421, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.426, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.458, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.426, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.354, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.425, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.741, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.715, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.715, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.755, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.715, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.715, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.717, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.715, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.059, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.070, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=-0.026, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.065, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.081, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.059, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.070, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=-0.026, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.065, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.081, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.059, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.070, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=-0.026, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.064, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.081, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.059, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.070, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=-0.026, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.065, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.081, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.060, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.067, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=-0.031, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.064, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.076, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.263, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.221, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.152, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.244, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.263, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.221, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.152, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.244, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.229, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.263, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.221, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.152, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.243, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.228, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.263, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.221, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.152, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.244, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.262, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.218, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.145, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.244, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.225, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.459, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.430, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.364, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.425, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.459, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.430, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.364, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.425, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.459, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.429, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.364, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.425, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.459, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.430, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.364, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.425, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.459, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.356, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.426, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.722, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.772, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.722, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.772, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.722, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.722, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.772, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.719, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.714, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.286, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.320, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.219, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.271, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.296, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.286, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.320, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.219, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.271, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.296, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.287, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.320, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.219, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.271, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.297, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.286, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.320, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.219, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.271, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.296, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.286, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.320, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.222, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.276, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.294, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.261, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.217, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.238, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.230, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.261, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.217, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.238, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.230, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.261, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.216, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.151, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.238, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.261, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.217, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.238, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.230, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.260, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.212, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.144, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.242, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.227, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.361, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.423, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.361, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.361, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.422, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.361, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.461, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.354, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.422, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.722, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.772, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.722, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.772, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.722, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.722, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.772, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.719, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.714, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.288, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.315, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.216, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.277, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.296, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.288, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.315, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.216, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.277, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.296, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.288, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.315, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.215, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.278, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.296, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.288, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.315, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.216, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.277, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.296, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.288, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.315, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.206, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.282, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.295, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.260, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.217, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.238, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.230, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.261, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.217, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.238, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.230, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.261, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.216, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.151, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.238, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.230, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.260, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.217, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.151, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.238, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.230, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.260, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.212, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.145, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.241, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.227, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.421, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.360, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.425, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.421, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.360, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.425, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.464, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.422, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.361, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.425, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.463, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.421, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.360, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.425, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.461, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.423, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.353, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.427, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.422, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.741, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.721, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.714, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.721, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.714, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.741, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.721, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.714, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.721, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.714, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.761, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.724, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.776, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.716, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.286, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.321, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.217, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.270, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.296, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.286, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.321, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.217, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.270, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.296, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.286, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.320, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.217, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.270, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.296, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.286, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.321, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.217, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.270, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.296, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.286, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.320, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.225, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.271, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.296, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.261, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.217, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.238, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.261, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.217, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.238, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.261, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.217, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.150, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.238, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.261, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.217, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.238, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.260, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.211, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.144, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.238, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.227, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.361, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.423, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.361, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.362, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.422, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.361, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.461, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.354, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.421, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.721, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.714, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.721, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.714, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.721, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.714, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.759, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.721, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.714, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.761, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.724, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.776, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.716, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.287, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.315, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.215, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.276, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.296, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.287, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.315, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.215, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.276, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.296, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.287, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.315, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.215, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.277, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.296, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.287, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.315, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.215, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.276, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.296, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.287, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.314, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.208, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.283, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.294, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.261, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.218, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.237, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.261, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.218, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.237, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.229, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.261, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.218, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.237, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.229, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.261, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.218, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.237, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.229, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.260, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.212, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.144, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.237, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.227, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.421, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.360, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.426, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.463, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.421, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.360, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.426, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.422, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.360, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.426, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.422, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.463, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.421, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.360, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.426, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.462, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.422, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.353, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.427, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.421, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.743, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.722, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.776, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.287, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.319, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.224, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.275, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.297, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.287, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.319, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.224, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.275, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.297, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.288, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.319, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.223, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.275, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.297, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.287, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.319, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.224, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.275, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.297, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.288, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.318, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.225, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.281, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.297, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.260, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.218, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.150, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.242, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.260, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.218, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.150, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.242, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.229, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.260, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.218, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.150, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.242, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.229, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.260, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.218, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.150, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.242, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.261, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.214, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.144, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.244, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.226, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.459, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.428, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.364, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.459, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.428, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.364, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.459, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.429, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.364, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.425, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.424, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.459, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.428, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.364, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.456, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.425, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.360, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.425, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.743, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.722, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.776, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.713, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.288, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.316, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.220, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.281, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.296, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.288, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.316, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.220, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.281, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.296, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.288, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.316, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.219, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.281, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.296, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.288, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.316, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.220, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.281, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.296, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.290, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.313, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.223, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.287, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.297, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.260, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.218, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.151, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.241, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.229, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.260, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.218, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.151, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.241, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.260, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.219, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.151, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.241, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.230, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.260, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.218, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.151, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.241, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.229, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.261, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.215, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.145, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.244, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.226, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.460, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.427, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.363, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.427, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.460, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.427, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.363, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.426, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.459, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.427, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.364, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.426, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.460, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.427, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.363, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.427, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.424, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.457, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.360, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.423, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.741, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.720, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.775, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.715, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.742, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.715, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.742, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.755, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.720, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.715, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.720, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.775, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.715, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.717, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.715, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.288, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.317, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.224, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.271, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.295, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.288, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.317, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.224, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.271, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.295, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.288, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.317, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.224, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.271, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.295, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.288, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.317, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.224, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.271, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.295, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.286, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.308, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.224, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.272, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.295, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.263, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.221, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.151, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.244, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.228, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.263, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.221, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.151, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.244, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.228, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.263, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.221, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.151, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.244, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.228, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.263, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.221, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.151, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.244, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.228, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.262, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.217, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.144, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.245, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.225, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.459, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.431, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.365, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.421, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.426, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.459, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.431, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.365, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.421, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.426, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.458, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.431, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.365, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.422, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.426, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.459, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.431, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.365, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.421, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.426, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.458, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.426, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.354, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.425, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.775, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.715, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.775, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.715, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.755, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.715, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.741, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.720, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.775, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.715, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.742, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.717, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.715, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.289, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.314, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.221, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.276, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.295, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.289, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.314, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.221, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.276, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.295, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.289, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.314, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.221, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.277, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.295, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.289, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.314, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.221, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.276, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.295, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.288, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.313, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.217, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.281, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.295, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.263, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.221, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.152, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.244, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.263, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.221, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.152, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.244, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.263, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.221, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.152, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.243, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.228, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.263, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.221, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.152, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.244, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.229, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.262, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.218, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.145, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.244, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.225, total=   0.0s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.459, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.430, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.364, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.425, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.459, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.430, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.364, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.425, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.459, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.429, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.364, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.425, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.459, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.430, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.364, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.425, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.459, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.424, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.356, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.426, total=   0.1s
[CV] C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.423, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.749, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.749, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.749, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.803, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.749, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.730, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.771, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.750, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.803, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.729, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.099, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.198, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.074, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.158, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.207, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.099, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.198, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.074, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.158, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.207, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.100, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.198, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.075, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.158, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.207, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.099, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.198, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.074, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.158, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.207, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.103, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.197, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.070, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.164, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.207, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.647, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.609, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.542, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.654, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.605, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.647, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.609, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.542, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.654, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.605, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.646, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.609, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.542, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.654, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.606, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.647, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.609, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.542, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.654, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.605, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.647, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.605, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.541, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.650, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.604, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.712, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.678, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.712, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.678, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.712, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.678, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.719, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.712, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.678, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.710, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.681, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.676, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.749, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.749, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.749, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.803, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.749, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.771, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.750, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.803, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.729, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.099, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.196, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.073, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.160, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.207, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.099, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.196, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.073, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.160, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.207, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.100, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.196, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.073, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.160, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.207, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.099, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.196, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.073, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.160, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.207, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.102, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.196, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.070, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.160, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.206, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.646, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.610, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.543, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.653, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.605, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.646, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.610, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.543, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.653, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.605, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.646, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.610, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.543, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.653, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.606, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.646, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.610, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.543, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.653, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.605, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.647, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.608, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.542, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.650, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.604, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.712, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.679, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.719, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.675, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.712, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.679, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.719, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.675, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.712, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.680, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.718, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.675, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.712, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.679, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.719, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.675, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.721, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.713, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.680, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.725, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.676, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.750, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.729, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.750, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.729, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.749, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.729, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.750, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.729, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.747, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.802, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.731, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.099, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.199, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.074, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.158, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.207, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.099, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.199, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.074, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.158, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.207, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.099, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.199, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.074, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.158, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.207, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.099, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.199, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.074, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.158, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.207, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.098, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.195, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.062, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.159, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.207, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.646, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.610, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.541, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.655, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.604, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.646, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.610, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.541, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.655, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.604, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.646, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.610, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.541, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.655, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.605, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.646, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.610, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.541, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.655, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.604, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.647, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.607, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.541, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.653, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.605, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.713, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.679, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.713, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.679, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.713, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.679, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.718, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.713, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.679, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.712, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.686, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.750, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.729, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.750, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.729, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.749, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.729, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.750, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.729, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.747, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.802, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.731, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.099, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.197, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.073, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.159, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.207, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.099, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.197, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.073, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.159, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.207, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.099, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.197, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.073, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.159, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.207, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.099, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.197, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.073, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.159, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.207, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.103, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.193, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.066, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.162, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.207, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.646, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.611, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.541, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.654, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.604, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.646, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.610, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.541, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.654, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.604, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.646, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.610, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.541, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.653, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.604, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.646, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.611, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.541, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.654, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.604, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.646, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.607, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.537, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.651, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.604, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.711, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.680, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.711, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.680, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.711, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.680, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.711, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.680, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.708, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.689, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.750, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.805, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.750, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.805, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.750, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.805, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.729, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.750, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.805, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.773, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.749, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.100, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.198, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.078, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.163, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.206, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.100, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.198, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.078, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.163, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.206, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.100, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.198, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.078, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.162, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.206, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.100, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.198, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.078, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.163, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.206, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.099, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.195, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.079, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.169, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.206, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.644, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.607, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.543, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.646, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.606, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.644, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.607, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.543, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.646, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.606, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.644, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.607, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.543, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.646, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.606, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.644, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.607, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.543, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.646, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.606, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.642, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.602, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.539, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.646, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.606, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.710, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.685, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.721, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.676, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.710, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.685, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.721, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.676, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.710, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.685, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.719, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.676, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.710, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.685, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.721, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.676, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.713, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.685, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.726, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.750, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.805, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.750, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.805, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.750, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.805, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.729, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.750, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.805, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.773, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.749, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.100, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.196, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.077, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.163, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.206, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.100, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.196, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.077, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.163, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.206, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.100, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.196, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.076, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.163, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.205, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.100, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.196, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.077, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.163, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.206, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.101, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.192, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.078, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.167, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.205, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.644, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.608, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.544, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.645, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.606, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.644, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.608, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.544, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.645, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.606, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.643, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.607, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.544, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.644, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.606, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.644, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.608, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.544, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.645, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.606, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.640, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.603, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.643, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.603, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.711, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.683, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.721, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.676, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.711, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.683, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.721, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.676, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.711, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.684, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.721, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.676, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.711, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.683, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.721, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.676, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.713, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.685, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.727, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.676, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.751, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.728, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.750, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.751, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.729, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.751, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.728, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.752, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.731, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.101, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.199, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.077, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.166, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.205, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.101, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.199, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.077, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.166, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.205, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.101, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.199, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.077, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.167, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.205, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.101, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.199, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.077, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.166, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.205, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.102, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.197, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.081, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.171, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.204, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.641, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.600, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.541, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.641, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.601, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.640, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.600, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.541, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.641, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.601, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.641, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.600, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.541, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.641, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.601, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.641, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.600, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.541, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.641, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.601, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.639, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.597, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.535, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.642, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.598, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.709, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.684, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.677, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.709, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.685, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.677, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.709, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.684, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.677, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.709, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.684, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.677, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.721, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.714, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.680, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.725, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.680, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.751, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.728, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.750, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.751, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.729, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.751, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.728, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.752, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.731, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.101, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.197, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.076, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.167, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.205, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.101, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.197, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.076, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.167, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.205, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.101, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.198, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.075, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.167, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.205, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.101, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.197, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.076, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.167, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.205, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.101, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.196, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.073, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.172, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.205, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.640, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.601, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.542, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.640, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.601, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.640, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.601, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.542, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.640, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.601, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.640, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.601, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.542, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.641, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.601, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.640, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.601, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.542, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.640, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.601, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.639, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.597, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.534, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.641, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.597, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.710, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.685, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.678, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.710, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.685, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.678, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.710, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.685, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.678, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.723, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.710, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.685, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.678, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.711, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.684, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.725, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.679, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.749, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.749, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.749, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.803, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.749, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.771, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.750, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.803, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.729, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.510, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.582, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.505, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.536, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.510, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.582, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.505, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.536, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.510, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.582, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.505, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.537, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.510, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.582, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.505, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.536, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.511, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.580, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.500, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.538, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.647, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.609, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.542, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.654, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.605, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.647, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.609, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.542, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.654, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.605, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.646, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.609, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.542, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.654, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.606, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.647, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.609, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.542, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.654, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.605, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.647, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.605, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.541, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.650, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.604, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.712, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.678, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.712, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.678, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.712, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.678, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.719, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.712, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.678, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.710, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.681, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.676, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.749, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.749, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.749, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.803, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.749, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.771, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.750, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.803, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.729, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.511, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.579, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.502, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.511, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.579, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.502, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.511, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.579, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.501, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.511, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.579, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.502, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.510, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.580, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.499, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.543, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.538, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.646, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.610, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.543, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.653, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.605, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.646, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.610, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.543, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.653, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.605, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.646, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.610, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.543, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.653, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.606, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.646, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.610, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.543, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.653, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.605, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.647, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.608, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.542, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.650, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.604, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.723, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.712, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.679, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.719, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.675, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.712, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.679, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.719, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.675, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.712, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.680, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.718, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.675, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.712, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.679, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.719, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.675, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.721, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.713, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.680, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.725, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.676, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.750, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.729, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.750, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.729, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.749, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.729, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.750, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.729, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.747, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.802, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.731, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.510, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.582, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.504, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.537, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.541, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.510, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.582, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.504, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.537, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.541, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.510, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.581, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.503, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.537, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.510, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.582, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.504, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.537, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.541, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.508, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.581, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.496, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.539, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.538, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.646, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.610, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.541, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.655, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.604, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.646, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.610, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.541, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.655, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.604, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.646, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.610, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.541, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.655, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.605, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.646, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.610, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.541, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.655, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.604, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.647, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.607, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.541, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.653, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.605, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.713, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.679, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.713, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.679, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.713, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.679, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.718, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.713, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.679, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.712, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.686, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.750, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.729, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.750, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.729, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.749, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.729, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.750, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.729, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.747, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.802, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.731, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.511, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.579, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.500, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.541, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.511, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.579, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.500, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.541, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.510, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.579, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.500, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.541, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.511, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.579, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.500, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.541, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.510, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.579, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.497, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.544, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.539, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.646, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.611, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.541, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.654, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.604, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.646, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.610, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.541, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.654, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.604, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.646, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.610, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.541, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.653, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.604, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.646, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.611, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.541, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.654, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.604, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.646, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.607, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.537, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.651, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.604, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.711, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.680, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.711, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.680, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.711, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.680, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.711, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.680, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.708, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.689, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.674, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.750, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.805, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.750, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.805, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.750, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.805, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.729, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.750, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.805, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.730, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.773, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.749, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.510, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.581, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.500, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.534, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.510, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.581, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.500, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.534, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.510, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.581, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.500, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.535, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.510, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.581, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.500, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.534, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.509, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.580, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.500, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.536, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.541, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.644, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.607, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.543, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.646, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.606, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.644, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.607, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.543, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.646, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.606, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.644, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.607, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.543, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.646, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.606, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.644, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.607, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.543, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.646, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.606, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.642, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.602, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.539, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.646, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.606, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.710, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.685, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.721, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.676, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.710, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.685, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.721, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.676, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.710, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.685, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.719, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.676, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.710, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.685, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.721, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.676, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.713, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.685, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.726, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.674, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.750, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.805, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.750, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.805, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.730, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.750, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.805, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.729, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.750, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.805, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.730, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.773, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.749, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.511, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.579, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.497, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.538, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.511, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.579, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.497, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.538, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.510, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.579, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.497, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.538, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.511, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.579, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.497, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.538, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.509, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.578, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.494, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.541, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.644, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.608, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.544, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.645, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.606, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.644, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.608, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.544, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.645, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.606, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.643, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.607, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.544, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.644, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.606, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.644, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.608, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.544, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.645, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.606, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.640, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.603, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.643, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.603, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.711, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.683, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.721, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.676, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.711, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.683, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.721, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.676, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.711, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.684, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.721, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.676, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.722, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.711, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.683, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.721, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.676, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.713, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.685, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.727, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.676, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.751, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.728, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.750, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.751, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.729, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.751, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.728, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.752, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.731, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.510, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.580, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.498, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.533, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.540, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.510, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.580, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.498, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.533, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.510, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.580, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.498, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.533, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.539, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.510, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.580, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.498, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.533, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.540, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.509, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.576, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.492, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.537, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.536, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.641, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.600, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.541, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.641, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.601, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.640, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.600, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.541, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.641, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.601, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.641, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.600, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.541, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.641, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.601, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.641, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.600, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.541, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.641, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.601, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.639, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.597, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.535, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.642, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.598, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.723, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.709, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.684, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.677, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.709, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.685, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.677, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.709, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.684, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.677, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.709, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.684, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.677, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.721, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.714, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.680, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.725, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.680, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.751, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.728, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.750, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.751, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.729, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.751, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.804, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.728, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.752, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.804, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.731, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.511, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.577, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.497, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.537, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.539, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.511, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.577, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.497, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.537, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.539, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.510, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.577, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.496, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.538, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.539, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.511, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.577, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.497, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.537, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.539, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.508, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.575, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.496, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.539, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.537, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.640, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.601, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.542, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.640, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.601, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.640, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.601, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.542, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.640, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.601, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.640, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.601, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.542, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.641, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.601, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.640, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.601, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.542, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.640, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.601, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.639, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.597, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.534, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.641, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.597, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.710, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.685, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.678, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.723, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.710, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.685, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.678, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.723, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.710, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.685, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.678, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.723, total=   0.0s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.710, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.685, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.722, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.678, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.720, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.711, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.684, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.725, total=   0.1s
[CV] C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=0.5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.752, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.807, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.773, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.754, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.806, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.730, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.101, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.268, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.129, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.188, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.236, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.101, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.268, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.129, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.188, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.236, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.101, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.268, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.129, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.189, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.237, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.101, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.267, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.129, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.188, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.236, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.101, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.267, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.133, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.192, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.235, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.736, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.765, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.710, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.736, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.765, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.710, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.736, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.765, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.736, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.765, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.710, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.734, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.728, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.675, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.769, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.713, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.692, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.685, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.692, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.685, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.695, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.693, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.685, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.692, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.685, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.695, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.727, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.753, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.752, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.773, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.806, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.101, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.267, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.129, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.190, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.237, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.101, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.267, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.129, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.190, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.237, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.101, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.267, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.128, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.190, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.237, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.101, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.267, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.129, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.190, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.237, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.100, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.267, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.128, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.192, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.237, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.736, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.731, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.764, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.710, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.736, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.731, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.764, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.736, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.731, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.764, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.710, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.736, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.731, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.764, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.710, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.736, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.731, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.677, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.765, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.712, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.695, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.697, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.686, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.697, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.685, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.693, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.684, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.654, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.695, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.697, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.686, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.695, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.698, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.689, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.808, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.808, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.808, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.808, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.771, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.751, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.806, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.101, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.267, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.131, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.187, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.236, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.101, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.267, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.131, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.187, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.236, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.101, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.267, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.131, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.188, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.236, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.101, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.267, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.131, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.187, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.236, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.100, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.271, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.128, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.189, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.236, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.737, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.678, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.765, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.710, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.737, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.730, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.765, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.737, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.765, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.737, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.765, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.737, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.727, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.676, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.766, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.712, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.695, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.697, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.722, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.695, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.697, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.722, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.680, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.722, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.695, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.697, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.722, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.692, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.693, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.727, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.656, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.808, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.808, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.808, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.808, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.771, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.751, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.806, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.101, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.266, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.130, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.188, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.236, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.101, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.266, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.130, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.188, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.236, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.101, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.267, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.130, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.188, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.236, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.101, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.266, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.130, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.188, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.236, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.099, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.271, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.126, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.193, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.237, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.736, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.731, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.679, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.764, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.736, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.731, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.764, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.736, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.731, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.679, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.764, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.710, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.736, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.731, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.764, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.737, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.728, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.676, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.767, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.730, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.731, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.691, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.682, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.721, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.728, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.728, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.752, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.807, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.730, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.101, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.268, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.128, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.190, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.237, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.101, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.268, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.128, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.190, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.237, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.101, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.268, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.127, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.190, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.236, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.101, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.268, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.128, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.190, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.237, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.102, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.269, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.122, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.192, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.236, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.735, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.732, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.679, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.764, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.711, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.735, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.732, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.679, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.764, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.711, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.735, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.732, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.679, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.764, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.711, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.735, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.732, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.764, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.711, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.734, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.676, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.763, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.697, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.724, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.653, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.697, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.724, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.653, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.697, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.724, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.653, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.697, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.724, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.653, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.697, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.685, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.724, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.728, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.728, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.752, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.807, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.730, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.101, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.266, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.128, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.193, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.237, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.101, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.266, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.128, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.193, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.237, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.101, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.266, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.127, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.193, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.236, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.101, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.266, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.128, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.193, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.237, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.102, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.267, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.130, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.189, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.235, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.735, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.732, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.763, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.711, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.735, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.732, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.679, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.763, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.711, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.735, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.732, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.679, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.763, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.711, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.735, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.732, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.679, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.763, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.711, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.734, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.734, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.677, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.764, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.695, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.677, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.718, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.653, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.696, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.695, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.677, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.718, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.653, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.718, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.696, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.695, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.677, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.718, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.653, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.699, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.693, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.674, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.718, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.655, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.807, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.808, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.733, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.103, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.269, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.120, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.192, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.237, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.103, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.269, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.120, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.192, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.237, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.104, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.269, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.120, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.193, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.237, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.103, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.269, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.120, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.192, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.237, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.105, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.270, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.118, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.198, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.234, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.734, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.733, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.680, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.762, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.712, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.734, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.733, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.680, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.762, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.712, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.734, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.734, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.680, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.762, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.712, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.734, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.733, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.680, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.762, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.712, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.733, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.729, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.678, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.764, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.713, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.690, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.676, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.722, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.691, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.676, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.722, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.690, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.675, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.720, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.690, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.676, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.722, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.698, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.689, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.674, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.724, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.808, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.733, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.104, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.267, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.120, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.192, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.237, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.104, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.267, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.120, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.192, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.237, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.104, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.267, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.120, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.193, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.237, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.104, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.267, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.120, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.192, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.237, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.106, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.266, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.118, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.199, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.235, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.733, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.734, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.680, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.762, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.712, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.733, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.734, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.680, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.762, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.713, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.733, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.734, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.681, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.762, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.712, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.733, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.734, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.680, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.762, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.712, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.734, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.730, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.680, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.764, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.713, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.692, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.718, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.692, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.718, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.692, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.720, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.692, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.718, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.697, total=   0.0s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.697, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.722, total=   0.1s
[CV] C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.658, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.807, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.752, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.807, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.773, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.754, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.806, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.730, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.575, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.659, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.598, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.616, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.576, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.575, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.659, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.597, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.616, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.576, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.575, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.659, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.597, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.616, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.576, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.575, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.659, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.598, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.616, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.576, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.575, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.656, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.593, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.617, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.574, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.736, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.765, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.736, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.765, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.736, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.765, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.736, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.765, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.734, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.728, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.675, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.769, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.713, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.692, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.685, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.692, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.685, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.654, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.695, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.693, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.685, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.692, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.685, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.695, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.727, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.772, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.807, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.752, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.730, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.730, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.773, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.754, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.806, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.730, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.576, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.657, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.596, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.621, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.576, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.576, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.657, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.596, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.621, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.576, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.576, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.657, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.596, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.621, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.576, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.576, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.657, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.596, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.621, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.576, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.573, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.656, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.592, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.621, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.573, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.736, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.731, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.764, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.710, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.736, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.731, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.764, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.736, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.731, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.679, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.764, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.736, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.731, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.679, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.764, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.736, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.731, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.677, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.765, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.712, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.695, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.697, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.686, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.697, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.685, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.693, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.684, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.654, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.695, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.697, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.686, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.695, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.698, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.689, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.808, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.808, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.808, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.808, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.771, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.751, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.806, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.575, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.657, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.597, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.616, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.578, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.575, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.657, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.597, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.616, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.578, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.575, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.657, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.597, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.616, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.578, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.575, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.657, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.597, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.616, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.578, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.574, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.657, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.592, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.617, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.574, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.737, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.765, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.737, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.765, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.710, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.737, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.730, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.765, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.737, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.765, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.737, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.727, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.676, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.766, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.712, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.695, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.697, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.722, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.695, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.697, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.722, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.680, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.722, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.695, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.697, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.722, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.692, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.693, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.727, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=0.656, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.808, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.808, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.808, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.772, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.808, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.771, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.751, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.806, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.576, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.656, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.595, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.621, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.578, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.576, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.656, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.595, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.621, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.578, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.576, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.656, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.595, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.621, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.578, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.576, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.656, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.595, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.621, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.578, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.573, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.655, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.593, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.622, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.575, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.736, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.731, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.764, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.736, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.731, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.679, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.764, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.710, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.736, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.731, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.764, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.736, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.731, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.764, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.737, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.728, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.676, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.767, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.710, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.731, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.691, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.682, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.721, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.728, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.754, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.754, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.807, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.807, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.728, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.752, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.807, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.730, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.577, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.660, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.597, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.614, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.578, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.577, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.660, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.597, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.614, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.578, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.576, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.660, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.597, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.614, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.578, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.577, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.660, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.597, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.614, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.578, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.574, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.658, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.592, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.616, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.575, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.735, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.732, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.764, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.711, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.735, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.732, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.679, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.764, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.711, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.735, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.732, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.764, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.711, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.735, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.732, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.764, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.711, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.734, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.676, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.763, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.697, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.724, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=0.653, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.697, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.724, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=0.653, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.697, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.724, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=0.653, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.697, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.694, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.724, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.653, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.697, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.685, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.724, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.728, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.754, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.807, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.728, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.752, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.807, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.730, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.578, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.658, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.595, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.618, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.577, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.578, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.658, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.595, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.618, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.577, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.577, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.658, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.595, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.618, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.577, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.578, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.658, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.595, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.618, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.577, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.576, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.657, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.594, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.620, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.575, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.735, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.732, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.679, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.763, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.711, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.735, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.732, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.679, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.763, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.711, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.735, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.732, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.679, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.763, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.711, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.735, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.732, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.679, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.763, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.711, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.734, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.734, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.677, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.764, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.710, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.695, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.677, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.718, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=0.653, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.695, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.677, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.718, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=0.653, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.718, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.696, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.695, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.677, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.718, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.653, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.699, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.693, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.674, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.718, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.729, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.754, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.807, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.808, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.733, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.580, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.664, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.592, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.615, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.576, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.580, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.664, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.591, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.616, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.576, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.580, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.663, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.591, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.616, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.576, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.580, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.664, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.592, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.615, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.576, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.580, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.661, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.587, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.617, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.576, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.734, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.733, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.680, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.762, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.712, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.734, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.733, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.680, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.762, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.712, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.734, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.734, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.680, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.762, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.712, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.734, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.733, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.680, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.762, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.712, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.733, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.729, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.764, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.713, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.690, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.676, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.722, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.691, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.676, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.722, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.690, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.675, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.720, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.690, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.676, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.722, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.698, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.689, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.674, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.724, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.754, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.753, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.807, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.729, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.808, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.733, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.581, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.661, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.589, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.620, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.576, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.581, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.661, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.589, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.620, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.576, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.581, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.661, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.589, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.620, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.576, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.581, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.661, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.589, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.620, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.576, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.581, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.660, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.585, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.620, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.575, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.733, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.734, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.680, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.762, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.712, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.733, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.734, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.680, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.762, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.713, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.733, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.734, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.681, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.762, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.712, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.733, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.734, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.680, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.762, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.712, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.734, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.730, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.680, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.764, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.713, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.692, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.718, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.692, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.678, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.718, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=0.654, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.696, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.692, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.679, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.720, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=0.655, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.696, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.692, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.678, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.718, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=0.654, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.697, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.697, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.678, total=   0.0s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.722, total=   0.1s
[CV] C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=0.658, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.040, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.320, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.163, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.226, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.202, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.040, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.320, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.163, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.226, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.202, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.039, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.320, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.162, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.226, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.202, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.040, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.320, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.163, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.226, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.202, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.035, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.317, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.159, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.226, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.191, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.810, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.835, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.856, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.836, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.872, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.832, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-2.567, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.861, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.963, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.504, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-2.161, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-2.565, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.862, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.963, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.504, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-2.161, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-2.561, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.861, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.963, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.502, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-2.159, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-2.568, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.861, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.963, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.504, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-2.161, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-2.556, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-1.853, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-1.962, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-1.502, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-2.155, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.040, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.320, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.162, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.226, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.202, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.040, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.320, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.162, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.226, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.202, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.040, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.321, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.162, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.226, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.202, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.040, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.320, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.162, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.226, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.202, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.043, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.317, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.164, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.224, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.196, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.809, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.808, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.858, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.835, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.832, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-2.494, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.779, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.908, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.622, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-2.306, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-2.494, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.779, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.908, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.621, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-2.306, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-2.496, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.781, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.910, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.628, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-2.379, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-2.494, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.779, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.908, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.622, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-2.306, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-2.460, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-1.781, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-1.897, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-1.613, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-2.193, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.808, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.729, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.037, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.321, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.163, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.227, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.205, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.037, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.321, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.163, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.227, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.204, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.037, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.320, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.162, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.228, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.202, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.037, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.321, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.163, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.227, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.205, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.038, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.313, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.166, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.224, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.201, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.809, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.856, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.834, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.872, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.833, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-2.567, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.253, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.937, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.634, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-2.319, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-2.557, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.253, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.937, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.634, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-2.319, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-2.555, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.250, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.938, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.634, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-2.314, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-2.567, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.253, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.937, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.634, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-2.319, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-2.550, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-1.263, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-1.944, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-1.633, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-2.290, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.808, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.729, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.037, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.321, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.163, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.227, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.205, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.037, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.321, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.163, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.227, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.204, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.037, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.320, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.162, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.228, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.203, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.037, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.321, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.163, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.227, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.205, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.041, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.318, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.160, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.228, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.200, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.808, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.857, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.871, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.835, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-2.368, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.776, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.897, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.558, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-2.291, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-2.368, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.776, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.897, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.557, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-2.291, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-2.368, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.777, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.898, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.551, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-2.293, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-2.368, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.776, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.897, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.558, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-2.291, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-2.416, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-1.796, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-1.851, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-1.587, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-2.282, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.758, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.807, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.039, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.314, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.159, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.228, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.206, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.039, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.314, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.159, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.228, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.206, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.039, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.313, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.160, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.230, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.205, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.039, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.314, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.159, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.228, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.206, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.038, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.310, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.162, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.230, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.204, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.855, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.873, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.832, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.855, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.873, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.832, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.855, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.834, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.873, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.832, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.855, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.873, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.832, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.809, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.854, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.834, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.872, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.831, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-2.242, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.838, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.958, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.511, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-2.296, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-2.242, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.838, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.959, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.511, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-2.297, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-2.245, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.840, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.957, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.505, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-2.298, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-2.242, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.838, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.958, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.511, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-2.296, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-2.254, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-1.842, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-1.947, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-1.512, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-2.284, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.758, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.807, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.039, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.314, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.160, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.227, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.206, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.039, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.314, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.160, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.228, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.206, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.040, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.312, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.160, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.228, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.206, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.039, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.314, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.160, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.227, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.206, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.041, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.310, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.163, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.235, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.201, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.855, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.873, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.832, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.855, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.873, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.832, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.810, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.855, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.834, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.873, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.832, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.855, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.873, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.832, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.854, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.834, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.873, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.831, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-2.266, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.195, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.897, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.605, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-2.129, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-2.267, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.195, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.897, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.605, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-2.129, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-2.269, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.199, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.895, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.621, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-2.129, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-2.266, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.195, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.897, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.605, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-2.129, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-2.294, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-1.224, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-1.899, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-1.652, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-2.146, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.730, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.730, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.730, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.730, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.758, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.811, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.734, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.046, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.312, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.169, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.224, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.203, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.046, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.312, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.169, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.224, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.203, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.047, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.312, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.169, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.224, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.202, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.046, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.312, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.169, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.224, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.203, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.049, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.309, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.166, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.222, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.197, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.853, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.830, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.853, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.830, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.853, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.832, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.830, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.853, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.830, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.810, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.851, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.831, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.872, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.829, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-2.483, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.888, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.952, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.485, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-2.292, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-2.483, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.887, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.952, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.484, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-2.292, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-2.476, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.886, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.954, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.483, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-2.294, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-2.483, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.888, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.952, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.485, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-2.292, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-2.470, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-1.850, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-1.937, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-1.475, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-2.280, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.730, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.730, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.730, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.730, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.758, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.811, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.734, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.046, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.312, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.168, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.225, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.203, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.046, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.312, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.168, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.225, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.203, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.047, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.312, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.169, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.226, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.203, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.046, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.312, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.168, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.225, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.203, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.054, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.313, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.164, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.234, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.199, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.853, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.830, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.853, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.830, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.809, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.853, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.830, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.853, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.830, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.809, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.852, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.832, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.871, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.829, total=   0.0s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-2.336, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.820, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.828, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.572, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-2.421, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-2.336, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.820, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.828, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.572, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-2.421, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-2.335, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.816, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.832, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.573, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-2.420, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-2.336, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.820, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.828, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.572, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-2.421, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-2.354, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-1.747, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-1.677, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-1.622, total=   0.1s
[CV] C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-2.340, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.680, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.713, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.676, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.730, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.628, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.680, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.713, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.676, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.730, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.628, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.680, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.713, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.676, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.730, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.628, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.680, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.713, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.676, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.730, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.628, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.676, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.709, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.669, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.731, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.624, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.809, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.856, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.836, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.872, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.832, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-2.567, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.861, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.963, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.504, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-2.161, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-2.565, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.862, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.963, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.504, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-2.161, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-2.561, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.861, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.963, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.502, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-2.159, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-2.568, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.861, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.963, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.504, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-2.161, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-2.556, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-1.853, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-1.962, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-1.502, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-2.155, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.680, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.713, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.675, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.731, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.628, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.680, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.713, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.675, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.731, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.628, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.680, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.712, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.675, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.732, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.628, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.680, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.713, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.675, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.731, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.628, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.675, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.708, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.673, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.733, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.632, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.808, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.858, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.832, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-2.494, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.779, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.908, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.622, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-2.306, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-2.494, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.779, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.908, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.621, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-2.306, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-2.496, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.781, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.910, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.628, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-2.379, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-2.494, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.779, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.908, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.622, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-2.306, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-2.460, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-1.781, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-1.897, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-1.613, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-2.193, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.808, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.729, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.682, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.712, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.677, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.730, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.626, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.682, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.712, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.677, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.730, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.626, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.681, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.712, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.677, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.730, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.625, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.682, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.712, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.677, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.730, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.626, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.678, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.707, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.672, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.732, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.624, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.835, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.810, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.856, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.834, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.872, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-2.567, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.253, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.937, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.634, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-2.319, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-2.557, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.253, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.937, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.634, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-2.319, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-2.555, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.250, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.938, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.634, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-2.314, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-2.567, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.253, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.937, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.634, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-2.319, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-2.550, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-1.263, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-1.944, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-1.633, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-2.290, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.808, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.729, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.682, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.711, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.677, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.732, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.626, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.682, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.711, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.677, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.732, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.626, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.681, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.711, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.677, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.732, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.626, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.682, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.711, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.677, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.732, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.626, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.676, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.706, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.672, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.733, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.624, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.833, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.809, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.856, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.856, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.808, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.857, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.835, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.871, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.835, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-2.368, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.776, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.897, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.558, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-2.291, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-2.368, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.776, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.897, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.557, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-2.291, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-2.368, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.777, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.898, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.551, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-2.293, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-2.368, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.776, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.897, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.558, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-2.291, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-2.416, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-1.796, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-1.851, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-1.587, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-2.282, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.758, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.807, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.674, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.716, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.674, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.731, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.635, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.674, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.716, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.674, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.731, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.635, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.674, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.716, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.674, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.731, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.635, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.674, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.716, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.674, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.731, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.635, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.673, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.712, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.674, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.732, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.633, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.855, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.873, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.832, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.855, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.873, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.832, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.855, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.834, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.873, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.832, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.855, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.873, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.832, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.854, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.834, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.872, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.831, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-2.242, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.838, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.958, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.511, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-2.296, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-2.242, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.838, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.959, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.511, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-2.297, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-2.245, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.840, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.957, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.505, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-2.298, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-2.242, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.838, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.958, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.511, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-2.296, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-2.254, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-1.842, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-1.947, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-1.512, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-2.284, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.728, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.758, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.807, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.674, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.715, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.674, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.733, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.634, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.674, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.715, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.674, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.733, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.635, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.674, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.715, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.674, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.733, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.636, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.674, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.715, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.674, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.733, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.634, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.671, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.711, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.671, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.733, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.636, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.855, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.873, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.832, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.855, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.873, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.832, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.810, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.855, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.834, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.873, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.832, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.810, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.855, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.835, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.873, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.832, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.809, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.854, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.834, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.873, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.831, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-2.266, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.195, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.897, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.605, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-2.129, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-2.267, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.195, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.897, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.605, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-2.129, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-2.269, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.199, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.895, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.621, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-2.129, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-2.266, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.195, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.897, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.605, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-2.129, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-2.294, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-1.224, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-1.899, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-1.652, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-2.146, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.730, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.730, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.730, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.730, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.758, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.811, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.734, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.675, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.717, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.685, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.732, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.643, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.675, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.717, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.685, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.732, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.643, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.674, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.717, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.685, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.732, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.643, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.675, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.717, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.685, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.732, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.643, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.672, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.714, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.682, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.732, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.638, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.853, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.830, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.853, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.830, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.853, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.832, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.830, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.853, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.830, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.810, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.851, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.831, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.872, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.829, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-2.483, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.888, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.952, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1.485, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-2.292, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-2.483, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.887, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.952, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1.484, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-2.292, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-2.476, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.886, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.954, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1.483, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-2.294, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-2.483, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.888, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.952, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1.485, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-2.292, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-2.470, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-1.850, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-1.937, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-1.475, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-2.280, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.730, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.730, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.730, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.730, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.758, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.811, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.734, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.675, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.717, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.684, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.734, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.642, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.675, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.717, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.684, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.734, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.642, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.675, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.717, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.684, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.735, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.642, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.675, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.717, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.684, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.734, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.642, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.671, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.713, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.682, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.735, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.639, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.853, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.830, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.809, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.853, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.872, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.830, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.809, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.853, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.833, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.872, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.830, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.809, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.853, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.833, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.872, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.830, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.809, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.852, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.832, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.871, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.829, total=   0.0s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-2.336, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.820, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.828, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1.572, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-2.421, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-2.336, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.820, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.828, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1.572, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-2.421, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-2.335, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.816, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.832, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1.573, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-2.420, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-2.336, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.820, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.828, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1.572, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-2.421, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-2.354, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-1.747, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-1.677, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-1.622, total=   0.1s
[CV] C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=5, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-2.340, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.755, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.726, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.031, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.314, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.162, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.227, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.179, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.031, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.314, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.162, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.228, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.179, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.031, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.314, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.160, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.227, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.179, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.031, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.314, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.162, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.227, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.179, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.033, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.314, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.158, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.237, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.178, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.820, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.869, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.870, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.864, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.844, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-12.646, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-10.677, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-11.526, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-9.791, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-10.946, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-12.646, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-10.678, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-11.526, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-9.791, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-10.947, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-12.643, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-10.677, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-11.526, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-9.788, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-10.960, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-12.646, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-10.677, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11.526, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-9.791, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-10.946, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-12.591, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-10.787, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-11.568, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-9.872, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-11.097, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.755, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.726, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.031, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.313, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.162, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.228, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.179, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.031, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.314, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.162, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.228, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.179, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.031, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.314, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.161, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.228, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.180, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.031, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.313, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.161, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.228, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.179, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.026, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.312, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.156, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.233, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.175, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.820, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.820, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.871, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.886, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-14.357, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-10.327, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-11.264, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-9.884, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-10.952, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-14.358, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-10.327, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-11.264, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-9.884, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-10.953, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-14.358, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-10.321, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-11.262, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-9.918, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-10.932, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-14.357, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-10.327, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-11.264, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-9.884, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-10.952, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-13.980, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-10.298, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-11.251, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-9.931, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-11.004, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.034, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.315, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.165, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.229, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.178, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.034, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.315, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.165, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.229, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.178, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.033, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.315, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.165, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.229, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.179, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.034, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.315, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.165, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.229, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.178, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.028, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.310, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.159, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.228, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.183, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.868, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.844, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.868, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.886, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.844, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.868, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.868, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.844, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.820, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.862, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-12.216, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-10.673, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-9.180, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-9.804, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-13.130, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-12.216, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-10.673, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-9.180, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-9.804, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-13.130, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-12.218, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-10.670, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-9.178, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-9.808, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-13.130, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-12.217, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-10.673, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-9.180, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-9.804, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-13.130, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-12.224, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-10.636, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-9.129, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-10.766, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-13.115, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.034, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.314, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.165, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.227, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.179, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.034, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.314, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.165, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.227, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.179, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.033, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.315, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.164, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.228, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.179, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.034, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.314, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.165, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.227, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.179, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.027, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.308, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.157, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.228, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.181, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.868, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.844, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.868, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.844, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.868, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.886, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.844, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.868, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.844, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.886, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-12.288, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-10.332, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-11.375, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-10.292, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-10.959, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-12.287, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-10.332, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-11.375, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-10.293, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-10.956, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-12.284, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-10.335, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-11.375, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-10.292, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-10.953, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-12.288, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-10.332, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-11.375, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-10.292, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-10.959, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-12.265, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-10.330, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-11.368, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-10.347, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-10.953, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.772, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.772, total=   0.2s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.772, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.2s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.2s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.773, total=   0.2s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.808, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.021, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.309, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.158, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.234, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.175, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.021, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.309, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.158, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.234, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.175, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.022, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.308, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.158, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.233, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.175, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.021, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.309, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.158, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.234, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.175, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.018, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.317, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.162, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.232, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.174, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.822, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.870, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.822, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.870, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.822, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.870, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.822, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.870, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.823, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.863, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.887, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.847, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-12.336, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-10.653, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-11.629, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-12.656, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-9.385, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-12.336, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-10.653, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-11.629, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-12.657, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-9.386, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-12.339, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-10.656, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-11.560, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-12.660, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-9.390, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-12.336, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-10.653, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11.629, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-12.656, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-9.385, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-12.260, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-10.682, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-11.538, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-12.120, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-9.721, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.772, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.772, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.772, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.808, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.021, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.308, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.157, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.234, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.175, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.021, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.309, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.157, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.234, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.175, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.021, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.310, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.157, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.235, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.175, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.021, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.308, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.157, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.234, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.175, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.019, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.312, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.164, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.235, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.172, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.823, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.870, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.823, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.870, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.823, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.870, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.822, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.870, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.822, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.870, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.863, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.845, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-12.439, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-8.794, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-9.713, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-10.135, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-9.551, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-12.439, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-8.794, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-9.713, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-10.135, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-9.552, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-12.438, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-8.799, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-9.712, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-10.135, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-9.556, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-12.439, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-8.794, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-9.713, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-10.135, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-9.551, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-12.476, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-8.675, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-9.922, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-10.231, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-9.743, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.731, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.731, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.731, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.731, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.759, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.736, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.018, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.323, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.155, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.236, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.181, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.018, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.323, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.155, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.236, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.181, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.019, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.321, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.155, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.236, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.181, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.018, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.323, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.155, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.236, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.181, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.019, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.321, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.155, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.239, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.176, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.826, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.864, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.826, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.864, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.826, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.869, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.864, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.888, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.826, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.864, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.827, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.870, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.864, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.888, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.846, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-14.654, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-10.686, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-11.647, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-9.435, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-11.462, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-14.654, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-10.689, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-11.649, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-9.435, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-11.462, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-14.655, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-10.688, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-11.667, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-9.472, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-11.463, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-14.654, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-10.686, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11.647, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-9.435, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11.462, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-14.621, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-10.719, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-11.574, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-9.477, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-11.453, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.731, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.731, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.731, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.731, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.759, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.736, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.018, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.323, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.155, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.236, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.181, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.018, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.323, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.155, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.236, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.181, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.017, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.321, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.155, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.236, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.181, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.018, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.323, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.155, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.236, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.181, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.020, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.310, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.157, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.243, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.178, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.826, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.864, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.826, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.864, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.826, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.864, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.888, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.826, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.864, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.826, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.867, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.865, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.887, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.846, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-14.828, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-8.401, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-8.911, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-9.887, total=   0.0s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-11.412, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-14.828, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-8.401, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-8.911, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-9.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-11.411, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-14.827, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-8.409, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-8.913, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-9.886, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-11.412, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-14.828, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-8.401, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-8.911, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-9.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-11.412, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-14.801, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-8.271, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-8.814, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-9.847, total=   0.1s
[CV] C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-11.428, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.755, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.726, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.688, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.729, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.698, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.758, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.660, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.688, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.729, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.698, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.758, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.660, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.688, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.729, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.697, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.758, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.659, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.688, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.729, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.698, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.758, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.660, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.687, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.722, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.695, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.755, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.655, total=   0.0s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.820, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.870, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.864, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.844, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-12.646, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-10.677, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-11.526, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-9.791, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-10.946, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-12.646, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-10.678, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-11.526, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-9.791, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-10.947, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-12.643, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-10.677, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-11.526, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-9.788, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-10.960, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-12.646, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-10.677, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11.526, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-9.791, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-10.946, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-12.591, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-10.787, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-11.568, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-9.872, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-11.097, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.755, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.726, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.2s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.688, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.729, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.697, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.759, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.660, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.688, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.729, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.697, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.759, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.660, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.689, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.728, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.697, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.760, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.659, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.688, total=   0.2s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.729, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.697, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.759, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.660, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.686, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.722, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.695, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.760, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.653, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.820, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.820, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.871, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.886, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-14.357, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-10.327, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-11.264, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-9.884, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-10.952, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-14.358, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-10.327, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-11.264, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-9.884, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-10.953, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-14.358, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-10.321, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-11.262, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-9.918, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-10.932, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-14.357, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-10.327, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-11.264, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-9.884, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-10.952, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-13.980, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-10.298, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-11.251, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-9.931, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-11.004, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.2s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.686, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.728, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.699, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.759, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.661, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.686, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.728, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.699, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.759, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.661, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.686, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.728, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.698, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.758, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.660, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.686, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.728, total=   0.2s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.699, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.759, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.661, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.686, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.721, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.695, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.653, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.868, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.844, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.868, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.886, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.844, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.868, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.868, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.844, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.820, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.862, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-12.216, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-10.673, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-9.180, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-9.804, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-13.130, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-12.216, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-10.673, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-9.180, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-9.804, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-13.130, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-12.218, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-10.670, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-9.178, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-9.808, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-13.130, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-12.217, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-10.673, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-9.180, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-9.804, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-13.130, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-12.224, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-10.636, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-9.129, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-10.766, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-13.115, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.686, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.728, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.698, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.760, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.661, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.686, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.728, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.698, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.760, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.661, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.686, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.698, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.760, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.660, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.686, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.728, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.698, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.760, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.661, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.686, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.720, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.693, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.760, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.656, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.868, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.844, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.868, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.844, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.868, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.886, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.844, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.868, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.844, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.819, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.886, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-12.288, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-10.332, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-11.375, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-10.292, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-10.959, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-12.287, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-10.332, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-11.375, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-10.293, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-10.956, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-12.284, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-10.335, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-11.375, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-10.292, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-10.953, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-12.288, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-10.332, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-11.375, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-10.292, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-10.959, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-12.265, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-10.330, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-11.368, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-10.347, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-10.953, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.772, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.772, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.772, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.808, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.691, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.695, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.755, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.662, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.691, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.695, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.755, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.662, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.691, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.695, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.755, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.663, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.691, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.695, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.755, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.662, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.686, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.722, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.694, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.662, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.822, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.870, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.822, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.870, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.822, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.870, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.822, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.870, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.823, total=   0.0s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.863, total=   0.0s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.847, total=   0.0s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-12.336, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-10.653, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-11.629, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-12.656, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-9.385, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-12.336, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-10.653, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-11.629, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-12.657, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-9.386, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-12.339, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-10.656, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-11.560, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-12.660, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-9.390, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-12.336, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-10.653, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11.629, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-12.656, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-9.385, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-12.260, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-10.682, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-11.538, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-12.120, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-9.721, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.772, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.772, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.772, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.773, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.808, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.691, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.695, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.662, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.691, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.695, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.662, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.691, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.695, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.663, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.691, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.727, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.695, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.662, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.690, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.722, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.693, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.665, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.823, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.870, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.823, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.870, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.823, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.870, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.822, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.870, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.822, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.870, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.863, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.845, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-12.439, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-8.794, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-9.713, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-10.135, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-9.551, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-12.439, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-8.794, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-9.713, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-10.135, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-9.552, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-12.438, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-8.799, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-9.712, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-10.135, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-9.556, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-12.439, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-8.794, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-9.713, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-10.135, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-9.551, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-12.476, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-8.675, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-9.922, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-10.231, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-9.743, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.731, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.731, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   0.2s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   0.2s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.731, total=   0.2s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.2s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   0.2s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.731, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.759, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.736, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.692, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.729, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.697, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.761, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.671, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.692, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.729, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.697, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.761, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.671, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.692, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.728, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.697, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.761, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.671, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.692, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.729, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.697, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.761, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.671, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.691, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.725, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.694, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.762, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.673, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.826, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.864, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.826, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.864, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.826, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.864, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.826, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.864, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.827, total=   0.0s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.870, total=   0.0s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.864, total=   0.0s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.888, total=   0.0s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.846, total=   0.0s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-14.654, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-10.686, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-11.647, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-9.435, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-11.462, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-14.654, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-10.689, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-11.649, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-9.435, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-11.462, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-14.655, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-10.688, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-11.667, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-9.472, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-11.463, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-14.654, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-10.686, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11.647, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-9.435, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11.462, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-14.621, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-10.719, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-11.574, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-9.477, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-11.453, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.731, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.731, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.731, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.731, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.759, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.809, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.736, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.692, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.729, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.697, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.762, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.671, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.692, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.729, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.697, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.762, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.671, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.691, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.729, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.697, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.762, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.671, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.692, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.729, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.697, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.762, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.671, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.690, total=   0.0s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.726, total=   0.0s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.697, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.762, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.674, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.826, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.864, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.826, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.869, total=   0.0s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.864, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.826, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.864, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.826, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.869, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.864, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.888, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.846, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.826, total=   0.0s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.867, total=   0.0s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.865, total=   0.0s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.887, total=   0.0s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.846, total=   0.0s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-14.828, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-8.401, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-8.911, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-9.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-11.412, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-14.828, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-8.401, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-8.911, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-9.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-11.411, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-14.827, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-8.409, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-8.913, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-9.886, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-11.412, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-14.828, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-8.401, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-8.911, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-9.887, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-11.412, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-14.801, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-8.271, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-8.814, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-9.847, total=   0.1s
[CV] C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=10, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-11.428, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.809, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.726, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=-0.023, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.295, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.149, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.247, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.165, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=-0.023, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.295, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.149, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.248, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.166, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=-0.023, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.296, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.148, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.250, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.166, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=-0.023, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.295, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.149, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.247, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.165, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=-0.029, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.293, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.150, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.247, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.165, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.833, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.858, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.833, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.858, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.833, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.877, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.858, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.833, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.858, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.836, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.857, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-95.699, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-56.391, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-73.594, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-60.937, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-86.302, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-95.698, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-56.391, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-73.593, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-60.938, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-86.302, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-95.696, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-56.391, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-73.604, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-60.939, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-86.309, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-95.699, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-56.391, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-73.594, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-60.937, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-86.302, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-95.673, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-56.389, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-73.573, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-60.685, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-86.299, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.809, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.726, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=-0.023, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.295, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.149, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.248, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.166, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=-0.023, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.295, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.149, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.248, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.166, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=-0.024, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.298, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.149, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.248, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.166, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=-0.023, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.295, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.149, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.248, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.166, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=-0.025, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.292, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.146, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.245, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.160, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.833, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.877, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.858, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.833, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.877, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.858, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.833, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.877, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.858, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.833, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.877, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.858, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.835, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.857, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-93.866, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-57.996, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-71.883, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-65.359, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-87.727, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-94.121, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-57.996, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-71.883, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-65.358, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-87.727, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-94.117, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-58.000, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-71.872, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-65.354, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-87.737, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-93.866, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-57.996, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-71.883, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-65.359, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-87.727, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-94.163, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-58.017, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-71.871, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-65.347, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-87.652, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.3s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.771, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=-0.024, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.300, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.147, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.250, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.165, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=-0.024, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.300, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.147, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.250, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.165, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=-0.024, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.298, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.149, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.249, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.166, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=-0.024, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.300, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.147, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.250, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.165, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=-0.027, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.293, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.151, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.250, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.170, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.832, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.857, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.832, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.857, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.832, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.857, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.832, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.876, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.857, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.832, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.898, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.859, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-96.913, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-59.520, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-73.643, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-60.931, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-88.068, total=   0.0s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-96.913, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-59.520, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-73.641, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-60.931, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-88.069, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-96.932, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-59.519, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-73.632, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-60.941, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-88.060, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-96.912, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-59.520, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-73.643, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-60.931, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-88.068, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-96.949, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-59.511, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-73.597, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-60.951, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-88.110, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.3s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.3s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.3s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.771, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=-0.024, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.300, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.148, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.251, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.165, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=-0.024, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.300, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.148, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.251, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.165, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=-0.024, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.300, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.149, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.251, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.165, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=-0.024, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.300, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.148, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.251, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.165, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=-0.034, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.288, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.149, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.246, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.165, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.832, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.857, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.832, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.857, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.832, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.857, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.832, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.857, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.832, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.875, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.899, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.856, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-94.157, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-55.641, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-71.877, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-63.581, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-87.710, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-94.156, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-55.641, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-71.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-63.581, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-87.710, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-94.157, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-55.642, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-71.910, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-63.585, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-87.704, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-94.157, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-55.641, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-71.877, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-63.581, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-87.710, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-94.438, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-55.654, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-71.895, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-63.726, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-87.731, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   0.3s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.773, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.808, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=-0.030, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.292, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.146, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.250, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.158, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=-0.030, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.292, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.146, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.250, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.158, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=-0.031, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.292, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.144, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.250, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.160, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=-0.030, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.292, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.146, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.250, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.158, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=-0.027, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.291, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.140, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.247, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.155, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.837, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.899, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.861, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.837, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.899, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.861, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.837, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.861, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.837, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.899, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.861, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.837, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.879, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.878, total=   0.0s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.899, total=   0.0s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.860, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-94.216, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-59.534, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-73.506, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-60.967, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-87.794, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-94.218, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-59.534, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-73.507, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-60.968, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-87.796, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-94.225, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-59.535, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-73.517, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-60.980, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-87.592, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-94.216, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-59.534, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-73.506, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-60.967, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-87.794, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-94.244, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-59.531, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-73.102, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-60.905, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-87.481, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   0.3s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.773, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.808, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=-0.030, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.291, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.146, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.252, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.158, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=-0.030, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.292, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.146, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.252, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.158, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=-0.030, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.293, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.144, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.252, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.159, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=-0.030, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.291, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.146, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.252, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.158, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=-0.024, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.289, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.139, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.248, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.154, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.837, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.861, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.837, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.861, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.837, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.861, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.837, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.861, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.837, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.899, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.861, total=   0.0s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-96.069, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-57.819, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-71.760, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-63.749, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-87.443, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-96.069, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-57.819, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-71.760, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-63.749, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-87.444, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-96.065, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-57.822, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-71.758, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-63.746, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-87.447, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-96.069, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-57.819, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-71.760, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-63.749, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-87.443, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-95.980, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-58.111, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-71.930, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-65.795, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-87.494, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.3s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.731, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.731, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.730, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.3s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.731, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.758, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.811, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.735, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=-0.030, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.301, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.140, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.242, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.154, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=-0.030, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.301, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.140, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.242, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.154, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=-0.028, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.301, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.142, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.241, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.156, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=-0.030, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.301, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.140, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.242, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.154, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=-0.032, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.300, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.139, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.246, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.167, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.841, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.882, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.880, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.901, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.865, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.841, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.882, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.880, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.901, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.865, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.842, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.882, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.880, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.901, total=   0.0s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.865, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.841, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.882, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.880, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.901, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.865, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.841, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.884, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.879, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.901, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.865, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-95.195, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-66.270, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-73.469, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-85.191, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-68.544, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-95.194, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-66.270, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-73.469, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-85.192, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-68.543, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-95.195, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-66.257, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-73.465, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-85.185, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-68.468, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-95.195, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-66.270, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-73.469, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-85.191, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-68.544, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-95.127, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-66.107, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-73.524, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-85.103, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-68.153, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.3s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.731, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.731, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.730, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.731, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.758, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.811, total=   0.2s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.735, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=-0.030, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.301, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.141, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.242, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.154, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=-0.030, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.301, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.141, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.242, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.154, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=-0.028, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.301, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.143, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.242, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.156, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=-0.030, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.301, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.141, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.242, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.154, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=-0.031, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.301, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.141, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.245, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.165, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.842, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.882, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.880, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.901, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.865, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.842, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.882, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.880, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.901, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.865, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.841, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.882, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.880, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.901, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.865, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.842, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.882, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.880, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.901, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.865, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.842, total=   0.0s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.884, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.880, total=   0.0s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.901, total=   0.0s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.864, total=   0.0s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-94.639, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-64.652, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-71.848, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-71.584, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-64.898, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-94.638, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-64.653, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-71.848, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-71.585, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-64.897, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-94.643, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-64.652, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-71.797, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-71.575, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-64.883, total=   0.0s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-94.639, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-64.652, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-71.848, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-71.584, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-64.898, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-94.582, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-64.420, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-71.800, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-71.542, total=   0.1s
[CV] C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-64.853, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.809, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.726, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.693, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.729, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.708, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.778, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.671, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.693, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.729, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.708, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.778, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.671, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.692, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.729, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.708, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.779, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.671, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.693, total=   0.3s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.729, total=   0.3s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.708, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.778, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.671, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.687, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.726, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.707, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.782, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.672, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.833, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.858, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.833, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.858, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.833, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.877, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.858, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.833, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.858, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.836, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.857, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-95.699, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-56.391, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-73.594, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-60.937, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-86.302, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-95.698, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-56.391, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-73.593, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-60.938, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-86.302, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-95.696, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-56.391, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-73.604, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-60.939, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-86.309, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-95.699, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-56.391, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-73.594, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-60.937, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-86.302, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-95.673, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-56.389, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-73.573, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-60.685, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-86.299, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.809, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.726, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.693, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.729, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.707, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.779, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.671, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.693, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.729, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.707, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.779, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.671, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.693, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.729, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.707, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.779, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.670, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.693, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.729, total=   0.4s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.707, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.779, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.671, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.686, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.726, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.709, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.781, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.667, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.833, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.877, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.858, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.833, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.877, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.858, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.833, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.877, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.858, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.833, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.877, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.858, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.835, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.857, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-93.866, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-57.996, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-71.883, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-65.359, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-87.727, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-94.121, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-57.996, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-71.883, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-65.358, total=   0.0s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-87.727, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-94.117, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-58.000, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-71.872, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-65.354, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-87.737, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-93.866, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-57.996, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-71.883, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-65.359, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-87.727, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-94.163, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-58.017, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-71.871, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-65.347, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-87.652, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.3s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.3s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.3s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.771, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.692, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.728, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.708, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.779, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.671, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.692, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.728, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.708, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.779, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.671, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.692, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.728, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.709, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.779, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.672, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.692, total=   0.3s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.728, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.708, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.779, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.671, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.688, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.728, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.704, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.781, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.670, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.832, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.857, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.832, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.876, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.857, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.832, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.857, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.832, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.857, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.832, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.898, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.859, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-96.913, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-59.520, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-73.643, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-60.931, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-88.068, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-96.913, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-59.520, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-73.641, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-60.931, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-88.069, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-96.932, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-59.519, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-73.632, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-60.941, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-88.060, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-96.912, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-59.520, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-73.643, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-60.931, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-88.068, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-96.949, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-59.511, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-73.597, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-60.951, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-88.110, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.3s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.3s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.771, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.692, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.728, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.708, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.778, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.671, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.692, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.728, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.708, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.778, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.671, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.692, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.728, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.708, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.779, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.671, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.692, total=   0.3s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.728, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.708, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.778, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.671, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.687, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.726, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.706, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.780, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.669, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.832, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.857, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.832, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.857, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.832, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.857, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.832, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.857, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.832, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.875, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.899, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.856, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-94.157, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-55.641, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-71.877, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-63.581, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-87.710, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-94.156, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-55.641, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-71.876, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-63.581, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-87.710, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-94.157, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-55.642, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-71.910, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-63.585, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-87.704, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-94.157, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-55.641, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-71.877, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-63.581, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-87.710, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-94.438, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-55.654, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-71.895, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-63.726, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-87.731, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.3s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.808, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.696, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.729, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.710, total=   0.3s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.780, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.674, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.696, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.729, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.710, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.780, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.674, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.695, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.730, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.709, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.780, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.673, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.696, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.729, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.710, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.780, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.674, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.692, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.729, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.707, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.783, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.669, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.837, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.899, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.861, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.837, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.899, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.861, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.837, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.861, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.837, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.899, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.861, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.837, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.879, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.899, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.860, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-94.216, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-59.534, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-73.506, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-60.967, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-87.794, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-94.218, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-59.534, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-73.507, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-60.968, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-87.796, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-94.225, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-59.535, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-73.517, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-60.980, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-87.592, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-94.216, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-59.534, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-73.506, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-60.967, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-87.794, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-94.244, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-59.531, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-73.102, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-60.905, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-87.481, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   0.3s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.773, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.808, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.696, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.729, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.709, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.781, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.674, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.696, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.729, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.709, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.781, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.674, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.695, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.729, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.709, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.781, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.673, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.696, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.729, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.709, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.781, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.674, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.693, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.727, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.706, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.783, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.672, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.837, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.861, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.837, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.861, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.837, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.861, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.837, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.900, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.861, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.837, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.878, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.878, total=   0.0s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.899, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.861, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-96.069, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-57.819, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-71.760, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-63.749, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-87.443, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-96.069, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-57.819, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-71.760, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-63.749, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-87.444, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-96.065, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-57.822, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-71.758, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-63.746, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-87.447, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-96.069, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-57.819, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-71.760, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-63.749, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-87.443, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-95.980, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-58.111, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-71.930, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-65.795, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-87.494, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.3s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.731, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.731, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.730, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.4s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.731, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.758, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.811, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.735, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.698, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.727, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.707, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.781, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.671, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.698, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.727, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.707, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.781, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.671, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.697, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.727, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.707, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.781, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.672, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.698, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.727, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.707, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.781, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.671, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.697, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.725, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.707, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.782, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.669, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.841, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.882, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.880, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.901, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.865, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.841, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.882, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.880, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.901, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.865, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.842, total=   0.0s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.882, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.880, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.901, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.865, total=   0.0s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.841, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.882, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.880, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.901, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.865, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.841, total=   0.0s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.884, total=   0.0s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.879, total=   0.0s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.901, total=   0.0s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.865, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-95.195, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-66.270, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-73.469, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-85.191, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-68.544, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-95.194, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-66.270, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-73.469, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-85.192, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-68.543, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-95.195, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-66.257, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-73.465, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-85.185, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-68.468, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-95.195, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-66.270, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-73.469, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-85.191, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-68.544, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-95.127, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-66.107, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-73.524, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-85.103, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-68.153, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.731, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.731, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.730, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.731, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.758, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.811, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.735, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.698, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.727, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.707, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.782, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.671, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.698, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.727, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.707, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.782, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.671, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.697, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.727, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.707, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.782, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.672, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.698, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.727, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.707, total=   0.3s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.782, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.671, total=   0.2s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.699, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.726, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.708, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.782, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.670, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.842, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.882, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.880, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.901, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.865, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.842, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.882, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.880, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.901, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.865, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.841, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.882, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.880, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.901, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.865, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.842, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.882, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.880, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.901, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.865, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.842, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.884, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.880, total=   0.0s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.901, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.864, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-94.639, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-64.652, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-71.848, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-71.584, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-64.898, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-94.638, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-64.653, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-71.848, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-71.585, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-64.897, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-94.643, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-64.652, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-71.797, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-71.575, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-64.883, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-94.639, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-64.652, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-71.848, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-71.584, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-64.898, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-94.582, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-64.420, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-71.800, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-71.542, total=   0.1s
[CV] C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=25, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-64.853, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.4s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.771, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=-0.070, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.294, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.145, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.261, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.158, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=-0.070, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.294, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.145, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.261, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.158, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=-0.071, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.293, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.144, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.262, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.159, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=-0.070, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.294, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.145, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.261, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.158, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=-0.077, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.293, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.148, total=   0.0s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.264, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.153, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.898, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.865, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.898, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.865, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.898, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.865, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.840, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.890, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.898, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.865, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.898, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.865, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-317.755, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-279.963, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-258.891, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-293.919, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-297.838, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-317.755, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-279.964, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-258.893, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-293.918, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-297.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-317.765, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-279.980, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-258.915, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-293.909, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-297.863, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-317.755, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-279.963, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-258.891, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-293.919, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-297.838, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-317.772, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-280.032, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-258.374, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-293.924, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-298.136, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.4s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.4s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.4s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.4s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.771, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.4s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.810, total=   0.4s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.4s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=-0.070, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.294, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.146, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.261, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.158, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=-0.070, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.294, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.146, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.261, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.158, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=-0.071, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.293, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.144, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.262, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.158, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=-0.070, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.294, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.146, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.261, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.158, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=-0.067, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.285, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.148, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.265, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.154, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.840, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.880, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.890, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.898, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.865, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.840, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.880, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.890, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.898, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.865, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.898, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.865, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.840, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.890, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.898, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.865, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.838, total=   0.0s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.878, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.889, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.898, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.865, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-355.095, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-218.055, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-223.235, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-239.939, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-292.023, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-355.094, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-218.055, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-223.236, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-239.934, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-292.020, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-355.092, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-218.069, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-223.247, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-239.902, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-292.006, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-355.095, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-218.054, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-223.234, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-239.939, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-292.023, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-355.050, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-218.346, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-223.381, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-239.093, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-291.872, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.5s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.773, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.4s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.812, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.4s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=-0.074, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.299, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.150, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.263, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.158, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=-0.074, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.298, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.149, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.263, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.158, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=-0.073, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.297, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.148, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.264, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.158, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=-0.074, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.299, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.150, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.263, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.158, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=-0.080, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.294, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.146, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.261, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.156, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.840, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.897, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.864, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.897, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.864, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.865, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.897, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.864, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.889, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.897, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.864, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-330.394, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-228.738, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-279.252, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-366.519, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-292.970, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-330.389, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-228.739, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-279.251, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-366.512, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-292.974, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-330.336, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-228.796, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-279.245, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-366.484, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-292.997, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-330.394, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-228.738, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-279.252, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-366.519, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-292.970, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-330.364, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-228.792, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-279.676, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-365.910, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-291.783, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.5s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.773, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.812, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=-0.074, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.298, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.150, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.263, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.158, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=-0.074, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.299, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.149, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.263, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.158, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=-0.074, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.298, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.147, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.265, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.158, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=-0.074, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.298, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.150, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.263, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.158, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=-0.078, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.297, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.143, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.268, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.162, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.840, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.880, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.890, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.897, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.864, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.890, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.897, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.864, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.840, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.880, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.889, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.897, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.864, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.840, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.880, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.890, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.897, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.864, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.879, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.897, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.864, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-355.105, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-214.153, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-273.519, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-240.029, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-230.992, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-355.104, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-214.153, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-273.519, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-240.023, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-230.992, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-355.096, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-214.161, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-273.533, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-240.003, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-230.999, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-355.105, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-214.153, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-273.519, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-240.029, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-230.992, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-355.086, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-214.508, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-268.584, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-239.265, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-229.799, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.4s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.5s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   0.4s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.5s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   0.4s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.773, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.758, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.809, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=-0.064, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.284, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.145, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.256, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.152, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=-0.064, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.284, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.146, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.256, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.152, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=-0.063, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.284, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.145, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.256, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.150, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=-0.064, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.284, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.145, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.256, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.152, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=-0.066, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.287, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.144, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.258, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.141, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.843, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.881, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.889, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.901, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.867, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.843, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.881, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.889, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.901, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.867, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.843, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.881, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.901, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.867, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.843, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.881, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.889, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.901, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.867, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.842, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.883, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.901, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.867, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-329.957, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-235.715, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-280.196, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-291.195, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-244.262, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-329.958, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-235.715, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-280.196, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-291.195, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-244.261, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-329.939, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-235.722, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-280.194, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-291.192, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-244.255, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-329.957, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-235.715, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-280.196, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-291.195, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-244.262, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-330.013, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-235.725, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-280.210, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-291.195, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-244.168, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.4s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.773, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.758, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.809, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=-0.064, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.284, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.145, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.255, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.152, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=-0.064, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.284, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.145, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.255, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.152, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=-0.064, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.283, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.145, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.256, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.150, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=-0.065, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.284, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.145, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.255, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.152, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=-0.055, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.282, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.142, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.253, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.146, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.844, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.881, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.901, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.867, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.844, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.881, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.901, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.867, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.843, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.881, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.889, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.901, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.867, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.844, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.881, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.901, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.867, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.842, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.883, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.889, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.899, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.866, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-355.014, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-228.889, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-279.335, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-307.766, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-223.715, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-355.014, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-228.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-279.333, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-307.767, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-223.723, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-355.011, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-228.922, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-279.295, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-307.788, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-223.746, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-355.014, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-228.889, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-279.335, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-307.766, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-223.714, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-355.014, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-228.881, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-262.643, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-308.273, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-223.787, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.731, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   0.4s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.4s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.731, total=   0.4s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.731, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.5s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.731, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.759, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.810, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.734, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=-0.051, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.294, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.134, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.248, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.155, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=-0.051, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.295, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.135, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.248, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.156, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=-0.050, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.294, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.133, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.249, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.154, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=-0.051, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.294, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.134, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.248, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.155, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=-0.056, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.288, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.128, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.248, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.154, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.849, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.902, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.870, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.849, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.902, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.870, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.849, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.902, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.870, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.849, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.902, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.870, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.850, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.903, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.869, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-314.742, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-234.192, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-284.147, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-322.186, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-221.042, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-314.743, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-234.192, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-284.147, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-322.186, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-221.046, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-314.747, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-234.192, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-284.154, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-322.170, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-221.086, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-314.742, total=   0.0s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-234.192, total=   0.0s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-284.146, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-322.185, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-221.041, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-314.775, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-234.838, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-283.831, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-322.112, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-221.205, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.731, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.731, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.731, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   0.3s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.5s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.731, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.759, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.810, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.734, total=   0.2s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=-0.051, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.295, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.134, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.248, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.155, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=-0.051, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.295, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.135, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.248, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.156, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=-0.051, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.295, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.133, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.247, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.153, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=-0.051, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.295, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.134, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.248, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.155, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=-0.057, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.287, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.132, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.250, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.152, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.849, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.902, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.870, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.849, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.902, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.870, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.849, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.902, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.870, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.849, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.902, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.870, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.850, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.889, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.902, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.869, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-354.916, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-231.752, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-272.766, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-239.789, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-237.427, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-354.916, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-231.753, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-272.767, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-239.787, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-237.430, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-354.914, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-231.757, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-272.765, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-239.787, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-237.440, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-354.916, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-231.752, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-272.766, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-239.789, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-237.427, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-354.931, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-231.749, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-272.692, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-239.681, total=   0.1s
[CV] C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-237.552, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.771, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.810, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.685, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.713, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.783, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.667, total=   0.5s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.684, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.727, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.713, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.783, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.667, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.685, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.727, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.714, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.782, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.667, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.685, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.727, total=   0.5s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.713, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.783, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.667, total=   0.7s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.682, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.723, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.715, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.782, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.667, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.840, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.898, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.865, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.898, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.865, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.898, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.865, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.840, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.898, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.865, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.898, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.865, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-317.755, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-279.963, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-258.891, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-293.919, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-297.838, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-317.755, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-279.964, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-258.893, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-293.918, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-297.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-317.765, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-279.980, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-258.915, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-293.909, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-297.863, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-317.755, total=   0.0s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-279.963, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-258.891, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-293.919, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-297.838, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-317.772, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-280.032, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-258.374, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-293.924, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-298.136, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.771, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.685, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.727, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.713, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.783, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.667, total=   0.5s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.685, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.727, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.713, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.783, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.667, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.685, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.727, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.714, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.783, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.667, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.685, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.713, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.783, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.667, total=   0.7s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.681, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.724, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.714, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.784, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.664, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.898, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.865, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.898, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.865, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.898, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.865, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.898, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.865, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.838, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.878, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.889, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.898, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.865, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-355.095, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-218.055, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-223.235, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-239.939, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-292.023, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-355.094, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-218.055, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-223.236, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-239.934, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-292.020, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-355.092, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-218.069, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-223.247, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-239.902, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-292.006, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-355.095, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-218.054, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-223.234, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-239.939, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-292.023, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-355.050, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-218.346, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-223.381, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-239.093, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-291.872, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.5s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.773, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.812, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.683, total=   0.5s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.727, total=   0.5s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.711, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.782, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.663, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.683, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.727, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.711, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.782, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.663, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.682, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.727, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.712, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.782, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.664, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.683, total=   0.5s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.727, total=   0.9s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.711, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.782, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.663, total=   0.5s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.679, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.725, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.714, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.782, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.668, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.897, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.864, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.897, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.864, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.840, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.880, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.890, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.865, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.840, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.880, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.897, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.864, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.889, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.897, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.864, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-330.394, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-228.738, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-279.252, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-366.519, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-292.970, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-330.389, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-228.739, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-279.251, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-366.512, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-292.974, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-330.336, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-228.796, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-279.245, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-366.484, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-292.997, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-330.394, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-228.738, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-279.252, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-366.519, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-292.970, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-330.364, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-228.792, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-279.676, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-365.910, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-291.783, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.5s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.773, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.812, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.683, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.711, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.782, total=   0.5s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.663, total=   0.6s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.683, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.727, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.711, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.782, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.664, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.682, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.727, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.712, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.782, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.664, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.683, total=   0.7s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.727, total=   0.5s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.711, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.782, total=   0.6s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.663, total=   0.5s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.680, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.725, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.713, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.782, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.669, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.897, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.864, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.897, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.864, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.889, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.864, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.840, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.880, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.897, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.864, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.840, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.879, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.890, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.897, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.864, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-355.105, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-214.153, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-273.519, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-240.029, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-230.992, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-355.104, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-214.153, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-273.519, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-240.023, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-230.992, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-355.096, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-214.161, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-273.533, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-240.003, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-230.999, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-355.105, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-214.153, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-273.519, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-240.029, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-230.992, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-355.086, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-214.508, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-268.584, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-239.265, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-229.799, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.773, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.758, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.809, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.692, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.726, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.718, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.781, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.670, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.692, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.726, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.718, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.781, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.670, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.691, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.726, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.717, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.781, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.671, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.692, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.726, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.718, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.781, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.670, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.687, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.721, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.714, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.783, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.673, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.843, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.881, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.889, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.901, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.867, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.843, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.881, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.889, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.901, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.867, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.843, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.881, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.901, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.867, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.843, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.881, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.889, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.901, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.867, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.842, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.883, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.901, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.867, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-329.957, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-235.715, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-280.196, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-291.195, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-244.262, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-329.958, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-235.715, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-280.196, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-291.195, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-244.261, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-329.939, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-235.722, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-280.194, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-291.192, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-244.255, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-329.957, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-235.715, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-280.196, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-291.195, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-244.262, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-330.013, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-235.725, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-280.210, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-291.195, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-244.168, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.773, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.758, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.809, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.692, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.726, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.717, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.781, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.670, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.692, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.726, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.717, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.781, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.670, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.691, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.726, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.717, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.781, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.670, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.692, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.726, total=   0.5s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.717, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.781, total=   0.5s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.670, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.683, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.724, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.715, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.783, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.672, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.844, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.881, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.901, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.867, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.844, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.881, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.901, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.867, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.843, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.881, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.889, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.901, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.867, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.844, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.881, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.901, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.867, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.842, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.883, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.889, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.899, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.866, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-355.014, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-228.889, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-279.335, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-307.766, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-223.715, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-355.014, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-228.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-279.333, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-307.767, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-223.723, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-355.011, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-228.922, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-279.295, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-307.788, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-223.746, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-355.014, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-228.889, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-279.335, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-307.766, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-223.714, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-355.014, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-228.881, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-262.643, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-308.273, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-223.787, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.731, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.731, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.731, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.5s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.731, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.759, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.810, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.734, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.692, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.722, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.719, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.781, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.676, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.692, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.722, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.718, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.781, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.676, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.691, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.722, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.718, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.781, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.677, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.692, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.722, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.719, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.781, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.676, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.687, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.720, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.712, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.780, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.678, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.849, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.902, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.870, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.849, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.902, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.870, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.849, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.902, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.870, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.849, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.902, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.870, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.850, total=   0.0s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.903, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.869, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-314.742, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-234.192, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-284.147, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-322.186, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-221.042, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-314.743, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-234.192, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-284.147, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-322.186, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-221.046, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-314.747, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-234.192, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-284.154, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-322.170, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-221.086, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-314.742, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-234.192, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-284.146, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-322.185, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-221.041, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-314.775, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-234.838, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-283.831, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-322.112, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-221.205, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.5s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.731, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.731, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.731, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.5s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.731, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.759, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.810, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.734, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.692, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.723, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.718, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.781, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.676, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.692, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.723, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.718, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.781, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.676, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.692, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.722, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.717, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.781, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.677, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.692, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.723, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.718, total=   0.4s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.781, total=   0.5s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.676, total=   0.3s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.686, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.721, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.710, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.782, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.678, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.849, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.902, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.870, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.849, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.902, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.870, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.849, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.902, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.870, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.849, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.888, total=   0.2s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.902, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.870, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.850, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.888, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.889, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.902, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.869, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-354.916, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-231.752, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-272.766, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-239.789, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-237.427, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-354.916, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-231.753, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-272.767, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-239.787, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-237.430, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-354.914, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-231.757, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-272.765, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-239.787, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-237.440, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-354.916, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-231.752, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-272.766, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-239.789, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-237.427, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-354.931, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-231.749, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-272.692, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-239.681, total=   0.1s
[CV] C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=50, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-237.552, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.5s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.5s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.5s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.6s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   0.5s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.5s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.5s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.809, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=-0.082, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.290, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.144, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.264, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.151, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=-0.082, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.290, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.144, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.264, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.151, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=-0.082, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.289, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.145, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.264, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.149, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=-0.082, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.290, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.144, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.264, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.151, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=-0.079, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.289, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.143, total=   0.0s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.268, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.149, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.848, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.883, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.896, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.866, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.848, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.883, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.849, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.883, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.848, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.883, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.896, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.896, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.849, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.884, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.897, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.864, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-716.180, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-496.862, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-682.012, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-669.958, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-576.402, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-716.183, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-496.862, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-682.011, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-669.959, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-576.397, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-716.229, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-496.859, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-682.011, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-669.927, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-576.387, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-716.179, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-496.862, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-682.012, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-669.958, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-576.402, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-716.445, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-496.864, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-682.056, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-669.950, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-575.961, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.5s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.809, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=-0.082, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.291, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.144, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.264, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.151, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=-0.082, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.291, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.144, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.264, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.151, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=-0.081, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.290, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.144, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.264, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.149, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=-0.082, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.291, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.144, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.264, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.151, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=-0.079, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.286, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.147, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.266, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.148, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.849, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.883, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.895, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.849, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.883, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.849, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.883, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.849, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.883, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.895, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.896, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.866, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.848, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.884, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.894, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.865, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-806.072, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-488.482, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-666.832, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-590.727, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-657.450, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-806.074, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-488.478, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-666.834, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-590.730, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-657.447, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-806.078, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-488.445, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-666.853, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-590.765, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-657.441, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-806.072, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-488.482, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-666.832, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-590.727, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-657.451, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-806.708, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-487.517, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-666.842, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-590.709, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-657.514, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.5s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.5s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.6s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.5s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.773, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.808, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=-0.082, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.288, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.144, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.265, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.149, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=-0.082, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.288, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.144, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.265, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.149, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=-0.081, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.287, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.141, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.265, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.147, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=-0.082, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.288, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.144, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.265, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.149, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=-0.076, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.287, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.140, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.265, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.145, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.848, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.882, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.896, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.896, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.866, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.848, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.882, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.848, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.882, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.848, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.882, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.896, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.896, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.866, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.848, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.882, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.865, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-788.424, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-490.087, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-682.082, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-669.952, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-523.284, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-788.423, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-490.086, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-682.081, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-669.952, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-523.286, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-788.422, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-490.073, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-682.071, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-669.933, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-523.307, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-788.424, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-490.087, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-682.082, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-669.952, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-523.284, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-788.440, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-490.032, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-682.071, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-669.664, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-523.212, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.5s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.5s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.5s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.6s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.5s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.808, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=-0.082, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.290, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.144, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.264, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.149, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=-0.082, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.290, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.144, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.264, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.149, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=-0.081, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.290, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.141, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.265, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.147, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=-0.082, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.290, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.144, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.264, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.149, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=-0.080, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.290, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.147, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.272, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.148, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.848, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.882, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.896, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.848, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.882, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.896, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.866, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.848, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.882, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.848, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.882, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.895, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.896, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.866, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.847, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.883, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.865, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-798.583, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-441.300, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-666.901, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-566.542, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-517.401, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-798.582, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-441.298, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-666.903, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-566.561, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-517.401, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-798.589, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-441.276, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-666.909, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-566.727, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-517.401, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-798.582, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-441.300, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-666.901, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-566.540, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-517.401, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-798.530, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-441.346, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-666.757, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-567.275, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-517.368, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.7s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.5s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.7s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   0.6s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.8s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   0.5s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.758, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.808, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=-0.072, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.286, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.142, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.254, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.147, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=-0.072, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.287, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.143, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.254, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.148, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=-0.072, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.287, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.143, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.254, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.147, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=-0.072, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.286, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.142, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.254, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.147, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=-0.076, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.281, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.142, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.250, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.149, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.853, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.887, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.894, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.900, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.853, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.887, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.894, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.900, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.853, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.887, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.900, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.853, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.887, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.894, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.900, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.866, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.852, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.888, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.900, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-800.977, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-630.161, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-681.702, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-669.988, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-560.326, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-800.977, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-630.159, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-681.701, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-669.987, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-560.327, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-800.972, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-630.154, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-681.691, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-669.980, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-560.342, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-800.977, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-630.161, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-681.702, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-669.988, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-560.326, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-801.059, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-630.127, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-681.654, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-670.173, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-557.806, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   0.5s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.758, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.808, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=-0.072, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.286, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.143, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.254, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.147, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=-0.073, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.287, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.143, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.254, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.148, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=-0.071, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.286, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.143, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.254, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.147, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=-0.072, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.286, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.143, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.254, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.147, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=-0.068, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.279, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.141, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.258, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.144, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.853, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.887, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.894, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.900, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.853, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.887, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.894, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.900, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.853, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.887, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.894, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.900, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.853, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.887, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.894, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.900, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.866, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.853, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.888, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.899, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.865, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-805.865, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-688.577, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-653.273, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-587.818, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-589.670, total=   0.0s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-806.215, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-688.573, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-653.272, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-587.817, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-589.674, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-806.196, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-688.567, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-653.273, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-587.800, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-589.712, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-805.864, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-688.577, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-653.273, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-587.818, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-589.670, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-805.993, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-688.419, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-653.291, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-587.193, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-589.597, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.731, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.731, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.731, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.5s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.6s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.731, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.759, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.809, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.733, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=-0.057, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.289, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.135, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.246, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.152, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=-0.057, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.290, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.135, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.246, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.152, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=-0.057, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.289, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.134, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.246, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.153, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=-0.057, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.289, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.135, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.246, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.152, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=-0.063, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.287, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.135, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.252, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.154, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.858, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.891, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.904, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.868, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.858, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.891, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.904, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.868, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.858, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.891, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.904, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.868, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.858, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.891, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.904, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.868, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.859, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.891, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.893, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.904, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.867, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-798.478, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-630.117, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-681.322, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-718.822, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-592.241, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-798.479, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-630.117, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-681.323, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-718.823, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-592.244, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-798.494, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-630.113, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-681.329, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-718.827, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-592.247, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-798.478, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-630.117, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-681.322, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-718.821, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-592.242, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-798.600, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-630.103, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-681.229, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-718.736, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-592.299, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.731, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.731, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.731, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   0.5s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.6s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.731, total=   0.4s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.759, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.809, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.733, total=   0.3s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=-0.057, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.289, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.135, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.247, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.152, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=-0.057, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.290, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.135, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.247, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.152, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=-0.058, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.289, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.135, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.247, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.152, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=-0.057, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.289, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.135, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.247, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.152, total=   0.2s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=-0.057, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.291, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.132, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.250, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.151, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.858, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.892, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.903, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.868, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.858, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.892, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.903, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.868, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.858, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.892, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.903, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.868, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.858, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.892, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.903, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.868, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.858, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.891, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.893, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.904, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.868, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-793.878, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-711.344, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-666.146, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-577.089, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-525.282, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-793.875, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-711.348, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-666.145, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-577.081, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-525.280, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-793.834, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-711.375, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-666.158, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-576.556, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-525.255, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-793.879, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-711.344, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-666.146, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-577.090, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-525.283, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-793.709, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-711.499, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-665.985, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-575.691, total=   0.1s
[CV] C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-520.640, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.809, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.681, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.726, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.714, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.783, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.667, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.681, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.726, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.714, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.783, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.667, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.682, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.726, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.714, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.783, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.666, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.681, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.726, total=   0.6s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.714, total=   0.7s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.783, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.667, total=   0.7s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.678, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.724, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.714, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.783, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.667, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.848, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.883, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.896, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.866, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.848, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.883, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.849, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.883, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.848, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.883, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.896, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.896, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.866, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.849, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.884, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.897, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.864, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-716.180, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-496.862, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-682.012, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-669.958, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-576.402, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-716.183, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-496.862, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-682.011, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-669.959, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-576.397, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-716.229, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-496.859, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-682.011, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-669.927, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-576.387, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-716.179, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-496.862, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-682.012, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-669.958, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-576.402, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-716.445, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-496.864, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-682.056, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-669.950, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-575.961, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.809, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.681, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.726, total=   0.7s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.714, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.782, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.667, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.681, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.726, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.714, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.782, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.667, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.682, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.726, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.713, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.783, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.666, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.681, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.726, total=   1.0s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.714, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.782, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.667, total=   0.8s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.679, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.723, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.714, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.782, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.666, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.849, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.883, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.895, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.896, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.849, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.883, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.849, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.883, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.849, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.883, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.895, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.896, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.848, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.884, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.894, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.865, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-806.072, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-488.482, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-666.832, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-590.727, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-657.450, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-806.074, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-488.478, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-666.834, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-590.730, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-657.447, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-806.078, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-488.445, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-666.853, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-590.765, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-657.441, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-806.072, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-488.482, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-666.832, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-590.727, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-657.451, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-806.708, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-487.517, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-666.842, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-590.709, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-657.514, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.6s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.808, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.680, total=   0.6s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.726, total=   0.8s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.714, total=   0.6s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.781, total=   0.9s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.663, total=   0.9s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.680, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.726, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.714, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.781, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.663, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.681, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.726, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.713, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.781, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.663, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.680, total=   0.9s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.726, total=   0.9s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.714, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.781, total=   0.7s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.663, total=   0.7s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.677, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.724, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.712, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.782, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.663, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.848, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.882, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.896, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.866, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.848, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.882, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.848, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.882, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.848, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.882, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.896, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.896, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.866, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.848, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.882, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.865, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-788.424, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-490.087, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-682.082, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-669.952, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-523.284, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-788.423, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-490.086, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-682.081, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-669.952, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-523.286, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-788.422, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-490.073, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-682.071, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-669.933, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-523.307, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-788.424, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-490.087, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-682.082, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-669.952, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-523.284, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-788.440, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-490.032, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-682.071, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-669.664, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-523.212, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.808, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.680, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.726, total=   0.6s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.714, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.781, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.663, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.680, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.726, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.714, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.781, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.663, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.680, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.726, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.713, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.782, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.663, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.680, total=   0.6s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.726, total=   1.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.714, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.781, total=   0.8s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.663, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.677, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.724, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.710, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.784, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.663, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.848, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.882, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.895, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.896, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.866, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.848, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.882, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.848, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.882, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.848, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.882, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.895, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.896, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.866, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.847, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.883, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.896, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.865, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-798.583, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-441.300, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-666.901, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-566.542, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-517.401, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-798.582, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-441.298, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-666.903, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-566.561, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-517.401, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-798.589, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-441.276, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-666.909, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-566.727, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-517.401, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-798.582, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-441.300, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-666.901, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-566.540, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-517.401, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-798.530, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-441.346, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-666.757, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-567.275, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-517.368, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.758, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.808, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.687, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.722, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.722, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.781, total=   0.6s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.677, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.687, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.722, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.722, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.781, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.677, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.687, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.723, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.722, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.782, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.677, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.687, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.722, total=   0.6s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.722, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.781, total=   1.0s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.677, total=   0.7s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.679, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.721, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.719, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.780, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.677, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.853, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.887, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.894, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.900, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.853, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.887, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.894, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.900, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.853, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.887, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.900, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.853, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.887, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.894, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.900, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.852, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.888, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.900, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-800.977, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-630.161, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-681.702, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-669.988, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-560.326, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-800.977, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-630.159, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-681.701, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-669.987, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-560.327, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-800.972, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-630.154, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-681.691, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-669.980, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-560.342, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-800.977, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-630.161, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-681.702, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-669.988, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-560.326, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-801.059, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-630.127, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-681.654, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-670.173, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-557.806, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.773, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.758, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.808, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.687, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.722, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.722, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.781, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.677, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.687, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.722, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.722, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.781, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.677, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.687, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.722, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.721, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.782, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.677, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.687, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.722, total=   0.7s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.722, total=   0.6s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.781, total=   1.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.677, total=   0.9s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.680, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.721, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.719, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.781, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.675, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.853, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.887, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.894, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.900, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.853, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.887, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.894, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.900, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.853, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.887, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.894, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.900, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.866, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.853, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.887, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.894, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.900, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.866, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.853, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.888, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.899, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.865, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-805.865, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-688.577, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-653.273, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-587.818, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-589.670, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-806.215, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-688.573, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-653.272, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-587.817, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-589.674, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-806.196, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-688.567, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-653.273, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-587.800, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-589.712, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-805.864, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-688.577, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-653.273, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-587.818, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-589.670, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-805.993, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-688.419, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-653.291, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-587.193, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-589.597, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.731, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.731, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.731, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.6s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.731, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.759, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.809, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.733, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.688, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.720, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.719, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.780, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.679, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.688, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.720, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.719, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.780, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.679, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.689, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.720, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.718, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.779, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.678, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.688, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.720, total=   0.8s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.719, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.780, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.679, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.685, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.718, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.716, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.777, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.676, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.858, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.891, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.904, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.868, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.858, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.891, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.904, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.868, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.858, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.891, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.904, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.868, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.858, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.891, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.904, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.868, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.859, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.891, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.893, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.904, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.867, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-798.478, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-630.117, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-681.322, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-718.822, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-592.241, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-798.479, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-630.117, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-681.323, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-718.823, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-592.244, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-798.494, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-630.113, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-681.329, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-718.827, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-592.247, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-798.478, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-630.117, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-681.322, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-718.821, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-592.242, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-798.600, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-630.103, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-681.229, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-718.736, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-592.299, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.731, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.731, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.731, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.6s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.731, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.759, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.809, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.733, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.688, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.720, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.719, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.779, total=   0.5s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.679, total=   0.6s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.688, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.720, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.719, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.779, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.679, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.688, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.720, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.718, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.779, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.678, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.688, total=   0.4s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.720, total=   1.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.719, total=   0.3s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.779, total=   1.0s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.679, total=   1.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.685, total=   0.2s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.719, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.716, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.777, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.675, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.858, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.892, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.903, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.868, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.858, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.892, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.903, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.868, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.858, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.892, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.903, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.868, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.858, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.892, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.895, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.903, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.868, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.858, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.891, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.893, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.904, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.868, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-793.878, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-711.344, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-666.146, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-577.089, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-525.282, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-793.875, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-711.348, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-666.145, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-577.081, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-525.280, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-793.834, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-711.375, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-666.158, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-576.556, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-525.255, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-793.879, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-711.344, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-666.146, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-577.090, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-525.283, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-793.709, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-711.499, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-665.985, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-575.691, total=   0.1s
[CV] C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=75, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-520.640, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.6s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.8s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.7s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.6s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.808, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=-0.087, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.284, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.143, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.260, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.150, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=-0.087, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.284, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.143, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.260, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.150, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=-0.088, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.284, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.142, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.262, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.149, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=-0.087, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.284, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.143, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.260, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.150, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=-0.082, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.287, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.141, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.263, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.146, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.854, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.888, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.898, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.896, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.865, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.854, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.898, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.865, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.865, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.854, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.888, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.898, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.896, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.865, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.889, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.864, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1456.700, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1016.448, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1218.153, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1238.100, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-891.643, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1456.707, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1016.437, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1218.154, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1238.112, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-891.645, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1456.807, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1016.318, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1218.159, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1238.146, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-891.658, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1456.700, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1016.449, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1218.153, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1238.100, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-891.643, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-1457.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-1015.277, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-1218.217, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-1236.424, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-891.817, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.6s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   1.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.6s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.7s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.808, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=-0.087, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.284, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.143, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.260, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.151, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=-0.087, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.284, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.143, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.260, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.151, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=-0.087, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.283, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.143, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.260, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.150, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=-0.087, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.284, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.143, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.260, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.151, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=-0.077, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.274, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.144, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.262, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.149, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.854, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.888, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.898, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.896, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.865, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.898, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.865, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.855, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.865, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.854, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.888, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.898, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.896, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.865, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.855, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.899, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.864, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1279.821, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1022.010, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1265.972, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-947.408, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-944.668, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1279.821, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1022.011, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1265.977, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-947.409, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-944.658, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1279.858, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1022.012, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1266.022, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-947.405, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-944.570, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1279.821, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1022.010, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1265.971, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-947.408, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-944.669, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-1279.912, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-1021.935, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-1266.401, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-947.047, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-943.912, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.6s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.6s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.7s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.6s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.771, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.754, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.810, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=-0.090, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.283, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.145, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.258, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.147, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=-0.091, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.283, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.145, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.258, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.148, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=-0.088, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.282, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.142, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.260, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.146, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=-0.090, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.283, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.145, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.258, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.147, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=-0.082, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.285, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.136, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.262, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.151, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.865, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.865, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.865, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.865, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.853, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.888, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.897, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.895, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.864, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-1456.524, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-1016.442, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-1218.248, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-1220.023, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-889.946, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-1456.531, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-1016.431, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-1218.250, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-1220.021, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-889.948, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-1456.634, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-1016.290, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-1218.275, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-1220.047, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-889.961, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1456.522, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1016.443, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1218.247, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1220.023, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-889.946, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-1457.976, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-1015.239, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-1218.528, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-1219.619, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-890.062, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.771, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.754, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.810, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=-0.090, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.283, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.145, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.258, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.147, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=-0.091, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.283, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.145, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.258, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.147, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=-0.090, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.282, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.142, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.259, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.146, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=-0.090, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.283, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.145, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.258, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.147, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=-0.086, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.284, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.137, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.263, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.150, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.887, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.865, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.887, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.896, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.865, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.865, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.854, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.887, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.897, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.896, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.865, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.889, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.895, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.864, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-1269.406, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-1008.238, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-1265.963, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-973.068, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-897.970, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-1269.405, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-1008.234, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-1265.972, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-973.075, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-897.969, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-1269.403, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-1008.172, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-1266.013, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-973.144, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-897.973, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1269.406, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1008.238, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1265.963, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-973.067, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-897.970, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-1269.775, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-1007.675, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-1266.515, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-973.204, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-898.107, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.9s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.809, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.729, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=-0.073, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.277, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.142, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.255, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.146, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=-0.073, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.278, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.141, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.255, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.146, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=-0.074, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.280, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.141, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.254, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.145, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=-0.073, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.277, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.142, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.255, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.146, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=-0.077, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.277, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.145, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.255, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.140, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.859, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.890, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.899, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.867, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.859, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.891, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.899, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.867, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.859, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.891, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.899, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.899, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.867, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.859, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.890, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.899, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.867, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.860, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.891, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.899, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.868, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-1399.557, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-1107.298, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-1217.735, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-938.531, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-886.021, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-1399.551, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-1107.300, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-1217.734, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-938.543, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-886.019, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-1399.510, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-1107.297, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-1217.723, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-938.649, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-886.005, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1399.558, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1107.298, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1217.735, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-938.530, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-886.021, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-1406.744, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-1109.116, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-1217.625, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-939.974, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-885.954, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.809, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.729, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=-0.073, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.277, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.141, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.255, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.146, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=-0.073, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.278, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.142, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.255, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.146, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=-0.074, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.281, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.142, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.255, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.144, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=-0.073, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.277, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.141, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.255, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.146, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=-0.074, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.283, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.143, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.258, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.143, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.859, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.890, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.899, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.867, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.859, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.891, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.899, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.867, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.859, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.891, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.899, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.867, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.859, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.890, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.899, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.867, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.859, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.890, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.900, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.867, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-1410.165, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-967.613, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-1272.155, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-961.285, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-1065.272, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-1410.170, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-967.612, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-1272.159, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-961.303, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-1065.275, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-1410.180, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-967.600, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-1272.134, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-961.472, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-1065.287, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1410.165, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-967.613, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1272.156, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-961.283, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1065.273, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-1417.436, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-967.802, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-1271.938, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-962.958, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-1063.000, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.8s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.7s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   0.7s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.8s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.731, total=   0.6s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.6s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   0.8s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.731, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.731, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.731, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.758, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.808, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.734, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=-0.063, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.289, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.134, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.250, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.152, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=-0.063, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.289, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.134, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.250, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.152, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=-0.066, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.290, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.136, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.251, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.152, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=-0.063, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.289, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.134, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.250, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.153, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=-0.065, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.289, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.133, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.256, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.151, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.863, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.895, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.903, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.869, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.863, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.895, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.903, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.869, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.863, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.895, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.904, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.869, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.863, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.895, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.903, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.869, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.863, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.895, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.894, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.905, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.868, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1613.585, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1013.712, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1217.214, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1257.777, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1011.130, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1613.584, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1013.711, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1217.213, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1257.778, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1011.113, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1613.634, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1013.707, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1217.200, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1257.752, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1010.963, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1613.586, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1013.712, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1217.214, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1257.776, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1011.131, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-1614.317, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-1013.567, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-1216.974, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-1257.315, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-1011.489, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.731, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.731, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.731, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.731, total=   0.5s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.758, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.808, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.734, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=-0.063, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.289, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.134, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.250, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.153, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=-0.063, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.289, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.134, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.250, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.153, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=-0.066, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.290, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.136, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.250, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.152, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=-0.063, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.289, total=   0.2s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.134, total=   0.4s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.250, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.153, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=-0.063, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.286, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.129, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.251, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.149, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.863, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.895, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.904, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.869, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.863, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.895, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.904, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.869, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.863, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.895, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.904, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.869, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.863, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.895, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.904, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.869, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.863, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.893, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.896, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.906, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.868, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1435.387, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-875.495, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1190.152, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-920.197, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1014.669, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1435.388, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-875.494, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1190.152, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-920.206, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1014.660, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1435.406, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-875.486, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1190.160, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-920.297, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1014.501, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1435.387, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-875.495, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1190.152, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-920.196, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1014.671, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-1436.397, total=   0.1s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-875.208, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-1190.078, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-920.828, total=   0.0s
[CV] C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-1014.415, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.5s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.808, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.676, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.724, total=   0.5s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.717, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.780, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.669, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.676, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.724, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.717, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.780, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.669, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.676, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.724, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.716, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.780, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.667, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.676, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.724, total=   1.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.717, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.780, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.669, total=   0.5s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.675, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.723, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.714, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.780, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.668, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.854, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.865, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.865, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.865, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.854, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.888, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.896, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.865, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.889, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.864, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1456.700, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1016.448, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1218.153, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1238.100, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-891.643, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1456.707, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1016.437, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1218.154, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1238.112, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-891.645, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1456.807, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1016.318, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1218.159, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1238.146, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-891.658, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1456.700, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1016.449, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1218.153, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1238.100, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-891.643, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-1457.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-1015.277, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-1218.217, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-1236.424, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-891.817, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.5s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.808, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.676, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.724, total=   0.5s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.717, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.779, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.669, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.676, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.724, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.717, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.779, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.668, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.676, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.724, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.716, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.780, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.667, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.675, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.724, total=   0.6s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.717, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.779, total=   0.5s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.669, total=   1.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.673, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.723, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.714, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.780, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.666, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.865, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.865, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.855, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.865, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.865, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.855, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.899, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.864, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1279.821, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1022.010, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1265.972, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-947.408, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-944.668, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1279.821, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1022.011, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1265.977, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-947.409, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-944.658, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1279.858, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1022.012, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1266.022, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-947.405, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-944.570, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1279.821, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1022.010, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1265.971, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-947.408, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-944.669, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-1279.912, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-1021.935, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-1266.401, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-947.047, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-943.912, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.771, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.754, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.810, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.674, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.724, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.716, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.780, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.665, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.674, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.724, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.716, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.780, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.665, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.672, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.724, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.716, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.781, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.666, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.674, total=   0.5s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.724, total=   0.6s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.716, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.780, total=   0.6s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.665, total=   0.6s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.676, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.726, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.712, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.782, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.664, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.865, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.865, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.865, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.865, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.853, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.895, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.864, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-1456.524, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-1016.442, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-1218.248, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-1220.023, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-889.946, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-1456.531, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-1016.431, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-1218.250, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-1220.021, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-889.948, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-1456.634, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-1016.290, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-1218.275, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-1220.047, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-889.961, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1456.522, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1016.443, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1218.247, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1220.023, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-889.946, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-1457.976, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-1015.239, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-1218.528, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-1219.619, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-890.062, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.771, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.754, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.810, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.674, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.724, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.716, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.780, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.665, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.674, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.724, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.716, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.780, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.665, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.672, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.723, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.716, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.780, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.665, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.674, total=   0.5s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.724, total=   0.6s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.716, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.780, total=   0.5s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.665, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.674, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.724, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.710, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.781, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.663, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.887, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.865, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.887, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.865, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.888, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.865, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.854, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.887, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.865, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.854, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.889, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.895, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.864, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-1269.406, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-1008.238, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-1265.963, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-973.068, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-897.970, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-1269.405, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-1008.234, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-1265.972, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-973.075, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-897.969, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-1269.403, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-1008.172, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-1266.013, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-973.144, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-897.973, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1269.406, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1008.238, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1265.963, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-973.067, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-897.970, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-1269.775, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-1007.675, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-1266.515, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-973.204, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-898.107, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.809, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.729, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.676, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.723, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.720, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.779, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.674, total=   0.5s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.675, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.723, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.720, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.779, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.674, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.676, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.722, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.720, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.778, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.674, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.676, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.723, total=   0.6s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.720, total=   0.5s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.779, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.674, total=   1.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.677, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.721, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.720, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.778, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.677, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.859, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.890, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.899, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.867, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.859, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.891, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.899, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.867, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.859, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.891, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.899, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.899, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.867, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.859, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.890, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.899, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.867, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.860, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.891, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.899, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.868, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-1399.557, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-1107.298, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-1217.735, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-938.531, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-886.021, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-1399.551, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-1107.300, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-1217.734, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-938.543, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-886.019, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-1399.510, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-1107.297, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-1217.723, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-938.649, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-886.005, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1399.558, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1107.298, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1217.735, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-938.530, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-886.021, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-1406.744, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-1109.116, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-1217.625, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-939.974, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-885.954, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.809, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.729, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.675, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.723, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.721, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.779, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.674, total=   0.5s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.675, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.722, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.721, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.779, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.674, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.676, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.722, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.720, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.778, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.674, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.675, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.723, total=   0.6s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.721, total=   0.5s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.779, total=   0.5s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.674, total=   1.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.675, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.722, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.720, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.778, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.677, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.859, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.890, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.899, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.867, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.859, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.891, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.899, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.867, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.859, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.891, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.899, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.867, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.859, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.890, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.898, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.899, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.867, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.859, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.890, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.900, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.867, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-1410.165, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-967.613, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-1272.155, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-961.285, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-1065.272, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-1410.170, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-967.612, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-1272.159, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-961.303, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-1065.275, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-1410.180, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-967.600, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-1272.134, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-961.472, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-1065.287, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1410.165, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-967.613, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1272.156, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-961.283, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1065.273, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-1417.436, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-967.802, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-1271.938, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-962.958, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-1063.000, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.731, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.731, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.731, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   0.6s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.5s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.731, total=   0.5s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.758, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.808, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.734, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.687, total=   0.6s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.721, total=   0.5s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.714, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.776, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.677, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.687, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.721, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.714, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.776, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.677, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.686, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.721, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.714, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.776, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.677, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.687, total=   0.7s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.721, total=   0.6s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.714, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.776, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.677, total=   0.5s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.686, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.718, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.715, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.776, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.672, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.863, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.895, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.903, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.869, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.863, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.895, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.903, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.869, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.863, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.895, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.904, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.869, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.863, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.895, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.897, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.903, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.869, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.863, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.895, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.894, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.905, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.868, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1613.585, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1013.712, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1217.214, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1257.777, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-1011.130, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1613.584, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1013.711, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1217.213, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1257.778, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-1011.113, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1613.634, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1013.707, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1217.200, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1257.752, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-1010.963, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1613.586, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1013.712, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1217.214, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1257.776, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-1011.131, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-1614.317, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-1013.567, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-1216.974, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-1257.315, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-1011.489, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.731, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.731, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.731, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.6s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.731, total=   0.5s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.758, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.808, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.734, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.687, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.721, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.714, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.776, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.677, total=   0.5s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.687, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.721, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.714, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.776, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.677, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.687, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.721, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.714, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.776, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.678, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.687, total=   0.6s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.721, total=   0.3s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.714, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.776, total=   0.4s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.677, total=   0.6s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.688, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.718, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.714, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.776, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.675, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.863, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.895, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.904, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.869, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.863, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.895, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.904, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.869, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.863, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.895, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.904, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.869, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.863, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.895, total=   0.2s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.904, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.869, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.863, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.893, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.896, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.906, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.868, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1435.387, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-875.495, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1190.152, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-920.197, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-1014.669, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1435.388, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-875.494, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1190.152, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-920.206, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-1014.660, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1435.406, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-875.486, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1190.160, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-920.297, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-1014.501, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1435.387, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-875.495, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1190.152, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-920.196, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-1014.671, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-1436.397, total=   0.1s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-875.208, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-1190.078, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-920.828, total=   0.0s
[CV] C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=100, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-1014.415, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.8s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.8s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.8s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.7s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.810, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=-0.099, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.275, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.147, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.260, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.147, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=-0.098, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.275, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.147, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.261, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.147, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=-0.098, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.274, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.143, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.260, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.148, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=-0.099, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.275, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.147, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.260, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.147, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=-0.095, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.276, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.136, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.259, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.144, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.859, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.900, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.867, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.859, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.900, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.867, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.859, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.900, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.867, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.859, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.900, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.867, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.858, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.895, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.898, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.867, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-5405.743, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-3631.151, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-4909.685, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-4823.292, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-3729.075, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-5405.752, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-3631.151, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-4909.677, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-4823.302, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-3729.077, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-5405.827, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-3631.142, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-4909.443, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-4823.589, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-3729.082, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-5405.742, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-3631.151, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-4909.685, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-4823.288, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-3729.074, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-5406.412, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-3630.477, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-4909.519, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-4828.358, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-3729.648, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.7s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.810, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=-0.099, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.275, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.147, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.260, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.147, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=-0.098, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.275, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.147, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.260, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.147, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=-0.096, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.274, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.144, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.260, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.148, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=-0.099, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.275, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.147, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.260, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.147, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=-0.099, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.284, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.137, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.260, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.148, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.859, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.900, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.898, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.867, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.859, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.900, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.898, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.867, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.859, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.900, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.898, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.867, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.859, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.899, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.898, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.867, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.859, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.900, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.867, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-6221.944, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-3821.922, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-4800.744, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-4153.231, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-3663.721, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-6221.927, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-3821.912, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-4800.740, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-4153.233, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-3663.721, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-6221.761, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-3821.796, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-4800.651, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-4153.357, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-3664.392, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-6221.945, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-3821.923, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-4800.746, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-4153.231, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-3663.721, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-6217.538, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-3821.289, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-4799.749, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-4153.291, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-3664.207, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.7s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.754, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.810, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=-0.093, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.274, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.144, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.261, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.145, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=-0.093, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.274, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.144, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.261, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.145, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=-0.096, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.273, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.146, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.261, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.145, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=-0.093, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.274, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.144, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.261, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.145, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=-0.099, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.276, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.139, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.258, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.150, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.859, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.899, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.896, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.867, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.859, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.899, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.897, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.896, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.867, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.859, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.867, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.859, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.899, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.896, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.867, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.856, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.866, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-5399.209, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-3631.534, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-4909.963, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-4823.378, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-3729.016, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-5399.202, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-3631.539, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-4909.956, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-4823.392, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-3729.017, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-5399.202, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-3631.593, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-4909.850, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-4823.724, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-3729.037, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-5399.209, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-3631.532, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-4909.964, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-4823.376, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-3729.016, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-5398.789, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-3632.415, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-4909.952, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-4824.912, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-3729.338, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   1.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.9s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.7s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.7s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   1.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.9s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.754, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.773, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.810, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=-0.093, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.274, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.144, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.261, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.145, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=-0.093, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.274, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.144, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.261, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.145, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=-0.097, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.272, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.144, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.262, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.145, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=-0.093, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.274, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.144, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.261, total=   0.8s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.145, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=-0.101, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.275, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.136, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.258, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.149, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.859, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.899, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.867, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.859, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.867, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.859, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.867, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.859, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.899, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.897, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.867, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.858, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.896, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.896, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.868, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-6213.940, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-3822.154, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-4801.021, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-4161.559, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-3634.601, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-6213.945, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-3822.144, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-4801.017, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-4161.574, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-3634.606, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-6213.983, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-3822.114, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-4800.941, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-4161.644, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-3634.613, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-6213.940, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-3822.155, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-4801.021, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-4161.558, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-3634.601, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-6214.065, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-3821.379, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-4800.345, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-4162.714, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-3634.479, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.7s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.8s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.807, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=-0.089, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.280, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.141, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.254, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.144, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=-0.089, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.280, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.141, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.254, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.144, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=-0.089, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.279, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.139, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.255, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.141, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=-0.089, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.279, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.141, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.255, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.144, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=-0.086, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.278, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.137, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.256, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.144, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.861, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.902, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.898, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.902, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.869, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.861, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.902, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.898, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.902, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.869, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.861, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.902, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.898, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.902, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.869, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.861, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.902, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.898, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.902, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.869, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.862, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.901, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.898, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.905, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.870, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-5398.955, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-3633.221, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-4908.447, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-5210.514, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-3728.627, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-5398.954, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-3633.212, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-4908.437, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-5210.507, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-3728.619, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-5398.949, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-3633.082, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-4908.352, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-5210.452, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-3728.539, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-5398.954, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-3633.223, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-4908.448, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-5210.516, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-3728.627, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-5399.292, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-3489.473, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-4907.913, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-5209.187, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-3728.263, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.7s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.7s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.9s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.807, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=-0.089, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.279, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.141, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.255, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.144, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=-0.089, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.279, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.141, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.255, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.144, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=-0.088, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.278, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.139, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.256, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.145, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=-0.089, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.279, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.141, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.255, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.144, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=-0.086, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.277, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.131, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.256, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.138, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.862, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.902, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.898, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.902, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.869, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.861, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.902, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.898, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.902, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.869, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.861, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.902, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.898, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.902, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.869, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.862, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.902, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.898, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.902, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.869, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.862, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.903, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.898, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.904, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.871, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-5499.416, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-3434.813, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-4799.525, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-4066.828, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-3786.685, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-5499.417, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-3434.814, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-4799.511, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-4066.829, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-3786.682, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-5499.478, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-3434.805, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-4799.423, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-4066.808, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-3786.662, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-5499.416, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-3434.814, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-4799.527, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-4066.827, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-3786.686, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-5499.406, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-3434.970, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-4798.636, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-4088.149, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-3786.549, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   0.7s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.731, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.731, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.731, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.7s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.731, total=   0.8s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.758, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.810, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.734, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=-0.072, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.284, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.134, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.254, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.151, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=-0.072, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.284, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.134, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.254, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.151, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=-0.073, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.285, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.136, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.253, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.151, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=-0.072, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.284, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.134, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.254, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.151, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=-0.079, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.285, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.134, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.250, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.150, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.863, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.906, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.911, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.872, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.863, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.906, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.911, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.872, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.863, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.906, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.911, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.872, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.863, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.906, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.899, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.911, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.872, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.864, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.906, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.901, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.911, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.872, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-5412.862, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-3632.385, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-4906.904, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-5923.728, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-3713.471, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-5412.863, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-3632.385, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-4906.899, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-5923.745, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-3713.472, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-5412.783, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-3632.378, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-4906.757, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-5923.960, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-3713.478, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-5412.862, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-3632.385, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-4906.904, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-5923.727, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-3713.471, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-5420.581, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-3632.574, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-4905.938, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-5925.995, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-3713.460, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   0.8s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.731, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.731, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.731, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   1.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.8s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   1.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.8s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.731, total=   1.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.758, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.810, total=   0.5s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.734, total=   0.6s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=-0.072, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.284, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.134, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.254, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.151, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=-0.072, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.284, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.135, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.254, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.151, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=-0.073, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.286, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.136, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.253, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.150, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=-0.072, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.284, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.135, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.254, total=   0.7s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.151, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=-0.082, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.291, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.133, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.252, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.152, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.864, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.906, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.899, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.911, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.872, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.864, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.906, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.911, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.872, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.864, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.906, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.911, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.872, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.864, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.906, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.899, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.911, total=   0.2s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.872, total=   0.3s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.866, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.906, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.900, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.911, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.872, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-5441.404, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-3605.619, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-4798.004, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-3974.831, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-3715.764, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-5441.408, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-3605.624, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-4797.996, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-3974.830, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-3715.762, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-5441.450, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-3605.726, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-4797.960, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-3974.850, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-3715.720, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-5441.403, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-3605.618, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-4798.005, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-3974.831, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-3715.764, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-5442.397, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-3607.594, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-4798.292, total=   0.0s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-3974.470, total=   0.1s
[CV] C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-3715.221, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.8s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.810, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.673, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.721, total=   1.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.714, total=   0.8s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.765, total=   0.8s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.666, total=   0.8s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.673, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.721, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.714, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.765, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.666, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.673, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.723, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.714, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.766, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.666, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.673, total=   0.8s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.722, total=   2.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.714, total=   2.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.765, total=   1.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.666, total=   1.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.662, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.722, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.710, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.767, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.667, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.859, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.900, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.867, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.859, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.900, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.867, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.859, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.900, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.867, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.859, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.900, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.867, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.858, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.895, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.898, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.867, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-5405.743, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-3631.151, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-4909.685, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-4823.292, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-3729.075, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-5405.752, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-3631.151, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-4909.677, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-4823.302, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-3729.077, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-5405.827, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-3631.142, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-4909.443, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-4823.589, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-3729.082, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-5405.742, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-3631.151, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-4909.685, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-4823.288, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-3729.074, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-5406.412, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-3630.477, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-4909.519, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-4828.358, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-3729.648, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.8s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.810, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.673, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.722, total=   0.8s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.714, total=   1.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.765, total=   0.9s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.667, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.673, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.722, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.714, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.765, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.666, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.672, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.723, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.715, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.765, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.665, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.673, total=   1.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.722, total=   1.8s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.714, total=   2.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.765, total=   2.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.667, total=   1.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.661, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.721, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.710, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.767, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.666, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.859, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.900, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.898, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.867, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.859, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.900, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.898, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.867, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.859, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.900, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.898, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.867, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.859, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.899, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.898, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.867, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.859, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.900, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.867, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-6221.944, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-3821.922, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-4800.744, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-4153.231, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-3663.721, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-6221.927, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-3821.912, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-4800.740, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-4153.233, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-3663.721, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-6221.761, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-3821.796, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-4800.651, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-4153.357, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-3664.392, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-6221.945, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-3821.923, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-4800.746, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-4153.231, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-3663.721, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-6217.538, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-3821.289, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-4799.749, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-4153.291, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-3664.207, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.754, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.810, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.671, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.722, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.715, total=   0.8s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.767, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.663, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.671, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.722, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.716, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.767, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.663, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.672, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.722, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.716, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.767, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.664, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.671, total=   0.8s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.722, total=   0.9s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.715, total=   1.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.767, total=   1.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.663, total=   0.9s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.666, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.721, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.711, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.766, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.667, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.859, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.899, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.896, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.867, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.859, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.896, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.867, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.859, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.867, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.859, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.899, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.896, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.867, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.856, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.866, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-5399.209, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-3631.534, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-4909.963, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-4823.378, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-3729.016, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-5399.202, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-3631.539, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-4909.956, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-4823.392, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-3729.017, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-5399.202, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-3631.593, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-4909.850, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-4823.724, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-3729.037, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-5399.209, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-3631.532, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-4909.964, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-4823.376, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-3729.016, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-5398.789, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-3632.415, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-4909.952, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-4824.912, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-3729.338, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.754, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.810, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.671, total=   0.9s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.722, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.716, total=   0.8s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.766, total=   0.8s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.663, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.671, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.723, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.716, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.766, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.663, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.670, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.723, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.715, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.767, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.664, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.671, total=   1.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.722, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.716, total=   1.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.766, total=   0.8s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.663, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.667, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.724, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.711, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.764, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.671, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.859, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.899, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.867, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.859, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.867, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.859, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.867, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.859, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.899, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.897, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.897, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.867, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.858, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.896, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.896, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.868, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-6213.940, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-3822.154, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-4801.021, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-4161.559, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-3634.601, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-6213.945, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-3822.144, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-4801.017, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-4161.574, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-3634.606, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-6213.983, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-3822.114, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-4800.941, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-4161.644, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-3634.613, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-6213.940, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-3822.155, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-4801.021, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-4161.558, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-3634.601, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-6214.065, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-3821.379, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-4800.345, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-4162.714, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-3634.479, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.8s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.807, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.670, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.719, total=   0.9s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.710, total=   1.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.768, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.671, total=   1.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.670, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.719, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.711, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.769, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.671, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.667, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.718, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.711, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.769, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.670, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.670, total=   0.8s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.719, total=   1.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.710, total=   1.9s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.768, total=   1.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.671, total=   2.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.664, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.718, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.712, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.770, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.674, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.861, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.902, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.898, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.902, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.869, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.861, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.902, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.898, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.902, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.869, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.861, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.902, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.898, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.902, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.869, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.861, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.902, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.898, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.902, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.869, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.862, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.901, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.898, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.905, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.870, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-5398.955, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-3633.221, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-4908.447, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-5210.514, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-3728.627, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-5398.954, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-3633.212, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-4908.437, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-5210.507, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-3728.619, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-5398.949, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-3633.082, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-4908.352, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-5210.452, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-3728.539, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-5398.954, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-3633.223, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-4908.448, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-5210.516, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-3728.627, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-5399.292, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-3489.473, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-4907.913, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-5209.187, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-3728.263, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   0.8s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.9s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.807, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.669, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.719, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.710, total=   0.8s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.768, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.671, total=   0.8s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.669, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.719, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.711, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.768, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.671, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.667, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.718, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.711, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.770, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.671, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.669, total=   0.9s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.719, total=   1.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.710, total=   1.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.768, total=   0.9s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.671, total=   2.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.668, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.717, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.712, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.769, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.673, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.862, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.902, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.898, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.902, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.869, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.861, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.902, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.898, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.902, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.869, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.861, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.902, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.898, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.902, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.869, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.862, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.902, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.898, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.902, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.869, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.862, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.903, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.898, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.904, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.871, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-5499.416, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-3434.813, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-4799.525, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-4066.828, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-3786.685, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-5499.417, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-3434.814, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-4799.511, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-4066.829, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-3786.682, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-5499.478, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-3434.805, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-4799.423, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-4066.808, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-3786.662, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-5499.416, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-3434.814, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-4799.527, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-4066.827, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-3786.686, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-5499.406, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-3434.970, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-4798.636, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-4088.149, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-3786.549, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   0.9s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.731, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.731, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.731, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.731, total=   1.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.758, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.810, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.734, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.675, total=   0.9s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.718, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.715, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.769, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.673, total=   1.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.675, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.718, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.715, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.769, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.673, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.672, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.718, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.714, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.770, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.671, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.675, total=   2.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.718, total=   1.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.715, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.769, total=   1.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.673, total=   1.8s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.680, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.717, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.711, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.769, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.673, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.863, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.906, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.911, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.872, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.863, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.906, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.911, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.872, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.863, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.906, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.911, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.872, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.863, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.906, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.899, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.911, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.872, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.864, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.906, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.901, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.911, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.872, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-5412.862, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-3632.385, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-4906.904, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-5923.728, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-3713.471, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-5412.863, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-3632.385, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-4906.899, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-5923.745, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-3713.472, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-5412.783, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-3632.378, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-4906.757, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-5923.960, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-3713.478, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-5412.862, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-3632.385, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-4906.904, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-5923.727, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-3713.471, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-5420.581, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-3632.574, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-4905.938, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-5925.995, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-3713.460, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   0.9s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.8s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.731, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.731, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.731, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.9s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   0.7s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.5s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.731, total=   0.8s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.758, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.810, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.734, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.675, total=   1.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.718, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.715, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.769, total=   0.8s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.673, total=   0.8s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.676, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.718, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.715, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.769, total=   0.6s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.673, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.673, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.719, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.714, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.769, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.671, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.675, total=   1.9s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.718, total=   0.9s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.715, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.769, total=   0.9s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.673, total=   1.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.678, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.720, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.709, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.770, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.671, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.864, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.906, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.911, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.872, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.864, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.906, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.911, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.872, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.864, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.906, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.899, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.911, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.872, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.864, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.906, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.899, total=   0.3s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.911, total=   0.2s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.872, total=   0.4s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.866, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.906, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.900, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.911, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.872, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-5441.404, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-3605.619, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-4798.004, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-3974.831, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-3715.764, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-5441.408, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-3605.624, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-4797.996, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-3974.830, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-3715.762, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-5441.450, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-3605.726, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-4797.960, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-3974.850, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-3715.720, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-5441.403, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-3605.618, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-4798.005, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-3974.831, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-3715.764, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-5442.397, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-3607.594, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-4798.292, total=   0.1s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-3974.470, total=   0.0s
[CV] C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=200, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-3715.221, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   1.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   2.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   2.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   1.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   1.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.809, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=-0.097, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.281, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.144, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.258, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.147, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=-0.097, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.282, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.144, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.258, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.147, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=-0.097, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.282, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.146, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.258, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.147, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=-0.097, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.281, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.144, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.258, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.147, total=   3.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=-0.099, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.274, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.135, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.253, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.145, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.860, total=   0.5s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.907, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.894, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.901, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.866, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.860, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.907, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.894, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.901, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.866, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.860, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.907, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.895, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.902, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.866, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.860, total=   0.5s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.907, total=   0.5s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.894, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.901, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.866, total=   0.5s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.858, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.907, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.894, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.904, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.867, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-19103.246, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-10339.782, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-15051.433, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-11297.026, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-11634.290, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-19103.244, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-10339.782, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-15051.432, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-11297.038, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-11634.295, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-19103.377, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-10339.722, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-15051.482, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-11297.246, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-11634.374, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-19103.246, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-10339.782, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-15051.434, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11297.025, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11634.289, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-19103.751, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-10337.434, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-15051.523, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-11300.629, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-11634.600, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   1.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   1.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.809, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=-0.097, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.282, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.144, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.258, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.147, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=-0.097, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.282, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.144, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.258, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.147, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=-0.096, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.282, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.145, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.258, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.147, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=-0.097, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.281, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.144, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.258, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.147, total=   2.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=-0.099, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.273, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.132, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.260, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.141, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.860, total=   0.5s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.907, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.895, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.902, total=   0.5s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.866, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.860, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.907, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.895, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.902, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.866, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.860, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.907, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.895, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.902, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.866, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.860, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.907, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.895, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.902, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.866, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.859, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.906, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.893, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.903, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.867, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-19355.689, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-14830.431, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-14715.696, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-12180.627, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-11217.931, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-19355.697, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-14830.441, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-14715.692, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-12180.632, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-11217.937, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-19355.794, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-14830.551, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-14715.612, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-12180.605, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-11217.969, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-19355.688, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-14830.431, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-14715.697, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-12180.627, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-11217.931, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-19354.998, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-14831.734, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-14715.485, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-12180.083, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-11218.128, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   1.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   1.5s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   1.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   1.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   1.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   1.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   2.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.809, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=-0.103, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.278, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.142, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.261, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.145, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=-0.103, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.278, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.142, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.261, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.145, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=-0.102, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.279, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.139, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.261, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.143, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=-0.103, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.279, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.142, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.261, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.145, total=   0.5s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=-0.102, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.276, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.130, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.261, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.147, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.859, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.906, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.894, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.900, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.866, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.859, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.906, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.894, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.900, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.866, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.859, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.906, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.894, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.901, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.866, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.859, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.906, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.894, total=   0.5s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.900, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.866, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.858, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.907, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.893, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.901, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.868, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-19103.304, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-10340.012, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-15051.850, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-11165.326, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-11573.753, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-19103.306, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-10340.014, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-15051.851, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-11165.364, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-11573.766, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-19103.351, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-10339.960, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-15051.801, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-11165.664, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-11573.845, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-19103.304, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-10340.013, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-15051.849, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11165.322, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11573.753, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-19103.117, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-10339.319, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-15052.100, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-11169.801, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-11574.563, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   1.5s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   1.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   1.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   1.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.809, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=-0.103, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.278, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.142, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.261, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.145, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=-0.103, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.278, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.142, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.261, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.145, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=-0.102, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.279, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.144, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.261, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.143, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=-0.103, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.279, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.142, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.261, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.145, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=-0.100, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.277, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.133, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.266, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.141, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.859, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.906, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.895, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.901, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.866, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.859, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.906, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.895, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.901, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.866, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.859, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.906, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.895, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.901, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.866, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.859, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.906, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.895, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.901, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.866, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.860, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.906, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.894, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.903, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.866, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-19361.711, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-14830.346, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-14716.112, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-12187.435, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-11217.860, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-19361.728, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-14830.354, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-14716.123, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-12187.439, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-11217.858, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-19361.791, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-14830.409, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-14716.034, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-12187.456, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-11217.927, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-19361.713, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-14830.345, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-14716.113, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-12187.435, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-11217.861, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-19357.319, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-14831.545, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-14715.922, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-12186.844, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-11218.244, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   1.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   1.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   1.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   1.5s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   1.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.755, total=   1.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   1.5s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   1.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   1.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.808, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=-0.093, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.284, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.142, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.256, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.143, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=-0.093, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.284, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.142, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.257, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.144, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=-0.094, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.283, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.139, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.257, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.141, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=-0.093, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.284, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.142, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.256, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.143, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=-0.091, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.277, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.142, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.255, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.147, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.862, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.910, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.897, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.907, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.869, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.862, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.910, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.897, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.907, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.869, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.862, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.910, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.908, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.869, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.862, total=   0.5s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.910, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.897, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.907, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.869, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.862, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.910, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.896, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.908, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.872, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-18909.773, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-11329.200, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-15049.592, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-11628.883, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-11207.546, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-18909.778, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-11329.199, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-15049.582, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-11628.878, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-11207.553, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-18909.797, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-11329.146, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-15049.503, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-11628.887, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-11207.578, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-18909.772, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11329.201, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-15049.593, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11628.883, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11207.545, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-18910.474, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-11328.512, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-15048.729, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-11628.942, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-11208.191, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   1.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   1.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   1.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.755, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   1.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   1.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   2.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.755, total=   1.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.808, total=   1.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=-0.093, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.284, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.142, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.256, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.144, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=-0.093, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.284, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.142, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.257, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.144, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=-0.094, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.282, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.139, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.257, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.140, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=-0.093, total=   0.5s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.284, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.142, total=   1.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.256, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.143, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=-0.095, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.280, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.137, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.254, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.141, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.862, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.910, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.897, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.908, total=   0.5s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.869, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.862, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.910, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.897, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.908, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.869, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.862, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.910, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.897, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.908, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.869, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.862, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.910, total=   0.5s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.897, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.908, total=   0.5s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.869, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.861, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.909, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.897, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.909, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.872, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-19362.875, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-11706.989, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-14713.848, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-12182.444, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-11031.687, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-19362.871, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-11706.997, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-14713.844, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-12182.438, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-11031.691, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-19362.886, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-11707.192, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-14713.816, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-12182.336, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-11031.805, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-19362.875, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-11706.986, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-14713.849, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-12182.444, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-11031.686, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-19363.640, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-11707.389, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-14713.311, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-12183.000, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-11032.714, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.5s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   1.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.731, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   1.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   1.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.731, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.730, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   1.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   1.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   1.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.731, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.758, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.810, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.734, total=   0.6s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=-0.076, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.283, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.135, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.252, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.152, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=-0.077, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.283, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.135, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.252, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.152, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=-0.076, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.284, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.134, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.253, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.152, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=-0.076, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.282, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.135, total=   0.5s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.252, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.152, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=-0.081, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.290, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.138, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.252, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.153, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.867, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.914, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.900, total=   0.5s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.912, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.873, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.867, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.914, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.900, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.912, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.873, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.866, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.914, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.900, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.912, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.873, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.867, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.914, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.900, total=   0.5s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.912, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.873, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.868, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.913, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.901, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.912, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.874, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-19102.693, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-11927.603, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-15047.292, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-11641.473, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-11278.115, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-19102.695, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-11927.617, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-15047.303, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-11641.452, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-11278.110, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-19102.688, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-11927.753, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-15047.280, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-11641.337, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-11278.145, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-19102.693, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11927.602, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-15047.293, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11641.475, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11278.114, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-19102.736, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-11929.038, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-15045.621, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-11638.757, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-11277.957, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   1.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   1.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   1.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.731, total=   1.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   1.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   1.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   1.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.731, total=   1.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.730, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   1.7s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   1.5s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   2.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   1.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.731, total=   1.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.758, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.810, total=   0.9s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.734, total=   0.8s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=-0.076, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.283, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.135, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.252, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.152, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=-0.077, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.283, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.135, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.252, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.152, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=-0.075, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.283, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.135, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.252, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.152, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=-0.076, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.283, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.135, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.252, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.152, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=-0.076, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.284, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.136, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.252, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.151, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.867, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.914, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.899, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.912, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.873, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.867, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.914, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.899, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.912, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.873, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.866, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.914, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.900, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.912, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.873, total=   0.2s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.867, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.914, total=   0.3s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.899, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.912, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.873, total=   0.4s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.868, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.914, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.900, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.912, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.873, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-19364.063, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-9825.256, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-14711.541, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-12183.673, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-10955.977, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-19364.052, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-9825.286, total=   0.0s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-14711.538, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-12183.672, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-10955.946, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-19364.021, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-9825.532, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-14711.521, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-12183.631, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-10955.766, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-19364.063, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-9825.251, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-14711.541, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-12183.673, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-10955.979, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-19362.500, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-9828.075, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-14712.309, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-12183.024, total=   0.1s
[CV] C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-10950.980, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.809, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.662, total=   1.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.719, total=   1.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.712, total=   1.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.763, total=   1.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.659, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.662, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.719, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.712, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.762, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.659, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.661, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.719, total=   0.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.712, total=   0.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.763, total=   0.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.660, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.662, total=   4.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.719, total=   1.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.712, total=   1.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.763, total=   2.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.659, total=   1.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.653, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.718, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.706, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.762, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.663, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.860, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.907, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.894, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.901, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.866, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.860, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.907, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.894, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.901, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.866, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.860, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.907, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.895, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.902, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.866, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.860, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.907, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.894, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.901, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.866, total=   0.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.858, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.907, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.894, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.904, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.867, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-19103.246, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-10339.782, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-15051.433, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-11297.026, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-11634.290, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-19103.244, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-10339.782, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-15051.432, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-11297.038, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-11634.295, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-19103.377, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-10339.722, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-15051.482, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-11297.246, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-11634.374, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-19103.246, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-10339.782, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-15051.434, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11297.025, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11634.289, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-19103.751, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-10337.434, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-15051.523, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-11300.629, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-11634.600, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   1.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.809, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.662, total=   2.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.720, total=   1.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.712, total=   1.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.762, total=   2.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.659, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.662, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.720, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.712, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.762, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.659, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.661, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.719, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.712, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.762, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.660, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.662, total=   2.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.720, total=   1.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.712, total=   2.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.762, total=   1.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.659, total=   1.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.651, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.715, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.706, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.762, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.667, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.860, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.907, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.895, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.902, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.866, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.860, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.907, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.895, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.902, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.866, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.860, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.907, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.895, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.902, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.866, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.860, total=   0.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.907, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.895, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.902, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.866, total=   0.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.859, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.906, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.893, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.903, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.867, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-19355.689, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-14830.431, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-14715.696, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-12180.627, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-11217.931, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-19355.697, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-14830.441, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-14715.692, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-12180.632, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-11217.937, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-19355.794, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-14830.551, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-14715.612, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-12180.605, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-11217.969, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-19355.688, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-14830.431, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-14715.697, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-12180.627, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-11217.931, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-19354.998, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-14831.734, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-14715.485, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-12180.083, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-11218.128, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   1.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   1.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   1.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   1.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   1.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   2.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.809, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.661, total=   1.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.721, total=   1.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.713, total=   1.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.763, total=   1.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.654, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.660, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.721, total=   1.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.712, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.763, total=   1.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.654, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.660, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.721, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.713, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.762, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.655, total=   0.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.661, total=   2.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.721, total=   2.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.713, total=   2.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.763, total=   1.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.654, total=   1.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.657, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.716, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.706, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.761, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.660, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.859, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.906, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.894, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.900, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.866, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.859, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.906, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.894, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.900, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.866, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.859, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.906, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.894, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.901, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.866, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.859, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.906, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.894, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.900, total=   0.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.866, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.858, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.907, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.893, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.901, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.868, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-19103.304, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-10340.012, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-15051.850, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-11165.326, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-11573.753, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-19103.306, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-10340.014, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-15051.851, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-11165.364, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-11573.766, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-19103.351, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-10339.960, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-15051.801, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-11165.664, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-11573.845, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-19103.304, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-10340.013, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-15051.849, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11165.322, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11573.753, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-19103.117, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-10339.319, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-15052.100, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-11169.801, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-11574.563, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   1.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   1.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   1.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   2.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.809, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.661, total=   2.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.721, total=   1.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.713, total=   2.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.762, total=   2.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.654, total=   1.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.661, total=   1.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.721, total=   1.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.713, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.763, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.654, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.660, total=   0.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.722, total=   0.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.712, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.762, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.655, total=   0.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.661, total=   2.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.721, total=   1.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.713, total=   3.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.762, total=   2.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.654, total=   1.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.653, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.718, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.708, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.764, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.660, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.859, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.906, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.895, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.901, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.866, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.859, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.906, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.895, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.901, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.866, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.859, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.906, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.895, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.901, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.866, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.859, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.906, total=   0.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.895, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.901, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.866, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.860, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.906, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.894, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.903, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.866, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-19361.711, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-14830.346, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-14716.112, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-12187.435, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-11217.860, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-19361.728, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-14830.354, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-14716.123, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-12187.439, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-11217.858, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-19361.791, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-14830.409, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-14716.034, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-12187.456, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-11217.927, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-19361.713, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-14830.345, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-14716.113, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-12187.435, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-11217.861, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-19357.319, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-14831.545, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-14715.922, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-12186.844, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-11218.244, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.755, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   1.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.808, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.662, total=   1.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.719, total=   1.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.706, total=   1.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.766, total=   1.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.668, total=   1.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.662, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.719, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.706, total=   0.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.766, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.668, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.662, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.719, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.706, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.767, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.668, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.662, total=   4.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.719, total=   2.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.706, total=   3.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.766, total=   7.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.667, total=   3.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.660, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.712, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.709, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.767, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.674, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.862, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.910, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.897, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.907, total=   0.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.869, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.862, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.910, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.897, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.907, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.869, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.862, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.910, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.897, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.908, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.869, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.862, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.910, total=   0.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.897, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.907, total=   0.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.869, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.862, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.910, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.896, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.908, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.872, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-18909.773, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-11329.200, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-15049.592, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-11628.883, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-11207.546, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-18909.778, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-11329.199, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-15049.582, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-11628.878, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-11207.553, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-18909.797, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-11329.146, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-15049.503, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-11628.887, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-11207.578, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-18909.772, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11329.201, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-15049.593, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11628.883, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11207.545, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-18910.474, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-11328.512, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-15048.729, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-11628.942, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-11208.191, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   1.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   1.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   1.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   1.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   1.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.755, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   1.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.808, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.662, total=   2.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.719, total=   1.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.706, total=   1.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.766, total=   1.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.667, total=   2.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.662, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.719, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.706, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.766, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.668, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.661, total=   0.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.719, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.706, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.766, total=   0.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.668, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.662, total=   4.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.719, total=   2.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.706, total=   3.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.766, total=   2.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.667, total=   3.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.658, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.715, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.708, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.767, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.672, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.862, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.910, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.897, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.908, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.869, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.862, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.910, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.897, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.908, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.869, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.862, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.910, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.908, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.869, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.862, total=   0.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.910, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.897, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.908, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.869, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.861, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.909, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.897, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.909, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.872, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-19362.875, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-11706.989, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-14713.848, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-12182.444, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-11031.687, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-19362.871, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-11706.997, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-14713.844, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-12182.438, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-11031.691, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-19362.886, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-11707.192, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-14713.816, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-12182.336, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-11031.805, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-19362.875, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-11706.986, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-14713.849, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-12182.444, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-11031.686, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-19363.640, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-11707.389, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-14713.311, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-12183.000, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-11032.714, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   1.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.731, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.731, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.730, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   1.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.731, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.758, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.810, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.734, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.662, total=   1.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.716, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.712, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.764, total=   1.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.668, total=   1.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.663, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.716, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.712, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.764, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.668, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.663, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.715, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.713, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.765, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.669, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.662, total=   2.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.716, total=   1.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.712, total=   1.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.764, total=   1.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.668, total=   3.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.662, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.715, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.711, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.767, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.669, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.867, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.914, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.900, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.912, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.873, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.867, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.914, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.900, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.912, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.873, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.866, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.914, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.900, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.912, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.873, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.867, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.914, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.900, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.912, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.873, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.868, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.913, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.901, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.912, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.874, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-19102.693, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-11927.603, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-15047.292, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-11641.473, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-11278.115, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-19102.695, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-11927.617, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-15047.303, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-11641.452, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-11278.110, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-19102.688, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-11927.753, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-15047.280, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-11641.337, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-11278.145, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-19102.693, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11927.602, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-15047.293, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11641.475, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-11278.114, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-19102.736, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-11929.038, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-15045.621, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-11638.757, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-11277.957, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   1.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.731, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.731, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.730, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   1.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   1.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.731, total=   0.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.758, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.810, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.734, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.662, total=   1.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.715, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.712, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.764, total=   2.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.668, total=   1.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.663, total=   0.7s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.715, total=   0.6s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.712, total=   0.5s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.764, total=   1.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.668, total=   0.8s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.663, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.715, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.712, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.765, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.669, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.662, total=   2.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.715, total=   1.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.712, total=   1.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.764, total=   2.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.668, total=   2.9s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.663, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.714, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.711, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.766, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.670, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.867, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.914, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.899, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.912, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.873, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.867, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.914, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.899, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.912, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.873, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.866, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.914, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.900, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.912, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.873, total=   0.2s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.867, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.914, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.899, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.912, total=   0.3s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.873, total=   0.4s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.868, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.914, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.900, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.912, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.873, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-19364.063, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-9825.256, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-14711.541, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-12183.673, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-10955.977, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-19364.052, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-9825.286, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-14711.538, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-12183.672, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-10955.946, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-19364.021, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-9825.532, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-14711.521, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-12183.631, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-10955.766, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-19364.063, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-9825.251, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-14711.541, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-12183.673, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-10955.979, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-19362.500, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-9828.075, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-14712.309, total=   0.1s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-12183.024, total=   0.0s
[CV] C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=350, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-10950.980, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   1.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   2.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   1.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   1.9s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.6s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   1.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   1.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   1.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.9s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.9s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.9s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   1.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   1.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.773, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.809, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=-0.101, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.280, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.143, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.258, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.146, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=-0.101, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.282, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.144, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.258, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.146, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=-0.101, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.280, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.143, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.258, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.147, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=-0.101, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.280, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.143, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.258, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.146, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=-0.100, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.272, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.135, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.254, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.143, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.855, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.906, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.890, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.905, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.866, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.855, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.906, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.890, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.905, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.866, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.855, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.906, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.890, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.906, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.866, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.855, total=   0.6s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.906, total=   0.6s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.890, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.905, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.866, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.853, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.906, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.891, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.907, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.866, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-35380.480, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-32048.167, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-30710.485, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-29034.391, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-25542.330, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-35380.486, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-32048.167, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-30710.489, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-29034.393, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-25542.321, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-35380.430, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-32048.117, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-30710.369, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-29034.163, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-25542.284, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-35380.478, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-32048.166, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-30710.485, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-29034.394, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-25542.331, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-35381.258, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-32050.178, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-30709.596, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-29030.504, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-25541.831, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.9s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.9s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   1.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   1.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   1.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.9s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   1.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   1.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   1.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   1.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.773, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.809, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=-0.101, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.281, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.143, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.258, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.146, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=-0.101, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.282, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.143, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.258, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.146, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=-0.099, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.280, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.144, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.258, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.147, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=-0.101, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.281, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.143, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.258, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.146, total=   0.6s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=-0.095, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.271, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.131, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.256, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.141, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.855, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.906, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.890, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.906, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.866, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.855, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.906, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.890, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.906, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.866, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.855, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.906, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.890, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.906, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.866, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.855, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.906, total=   0.6s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.890, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.906, total=   0.6s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.866, total=   0.6s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.855, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.905, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.890, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.906, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.866, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-36455.653, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-31459.615, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-30027.123, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-25062.322, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-26418.396, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-36455.641, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-31459.620, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-30027.120, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-25062.316, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-26418.371, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-36455.537, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-31459.624, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-30026.979, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-25062.237, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-26417.882, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-36455.655, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-31459.616, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-30027.124, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-25062.321, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-26418.402, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-36454.922, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-31458.363, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-30025.484, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-25062.978, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-26415.185, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   1.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   1.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   1.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   0.9s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   0.9s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.9s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.9s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.9s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   0.9s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.9s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   1.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   1.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   1.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.810, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=-0.106, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.278, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.142, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.261, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.145, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=-0.106, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.278, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.142, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.261, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.145, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=-0.105, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.283, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.145, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.261, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.143, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=-0.106, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.278, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.142, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.261, total=   1.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.145, total=   0.6s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=-0.100, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.272, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.137, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.259, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.148, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.856, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.905, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.889, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.904, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.866, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.856, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.905, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.889, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.904, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.866, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.855, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.905, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.889, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.904, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.866, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.856, total=   0.6s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.905, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.889, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.904, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.866, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.852, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.904, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.890, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.906, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.868, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-35380.524, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-32047.884, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-30711.075, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-29560.387, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-25542.370, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-35380.529, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-32047.882, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-30711.081, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-29560.358, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-25542.367, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-35380.623, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-32047.844, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-30710.961, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-29560.132, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-25542.387, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-35380.523, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-32047.884, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-30711.075, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-29560.391, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-25542.371, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-35381.338, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-32047.772, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-30710.221, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-29558.487, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-25543.003, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   1.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   1.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   1.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.9s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.9s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.9s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.9s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   1.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   1.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   1.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.810, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=-0.106, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.278, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.142, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.261, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.145, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=-0.107, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.277, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.142, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.261, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.145, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=-0.107, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.284, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.143, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.261, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.143, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=-0.106, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.278, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.142, total=   1.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.261, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.145, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=-0.105, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.274, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.133, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.256, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.137, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.856, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.905, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.890, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.905, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.866, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.856, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.905, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.890, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.905, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.866, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.855, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.905, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.890, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.905, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.866, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.856, total=   0.6s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.905, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.890, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.905, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.866, total=   0.6s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.853, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.904, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.891, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.907, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.868, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-39768.979, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-31459.402, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-30027.716, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-25062.796, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-26417.425, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-39768.988, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-31459.392, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-30027.706, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-25062.784, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-26417.498, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-39769.101, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-31459.365, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-30027.601, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-25062.681, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-26418.107, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-39768.979, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-31459.401, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-30027.717, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-25062.796, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-26417.417, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-39769.827, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-31458.078, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-30028.698, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-25063.463, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-26417.046, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   1.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   1.6s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   1.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.755, total=   1.6s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   1.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   2.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.758, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.807, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=-0.093, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.282, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.142, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.256, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.144, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=-0.093, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.282, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.142, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.256, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.144, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=-0.093, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.282, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.139, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.257, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.144, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=-0.093, total=   0.6s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.282, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.142, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.256, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.143, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=-0.095, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.281, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.137, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.259, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.140, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.857, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.909, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.892, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.909, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.870, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.857, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.909, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.892, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.909, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.870, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.857, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.909, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.892, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.909, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.870, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.857, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.909, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.892, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.909, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.870, total=   0.6s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.859, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.910, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.893, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.910, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.871, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-34875.917, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-32050.429, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-30707.858, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-29031.066, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-24000.967, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-34875.927, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-32050.494, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-30707.840, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-29031.074, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-24000.973, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-34876.291, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-32051.212, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-30707.881, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-29031.084, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-24001.054, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-34875.916, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-32050.424, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-30707.860, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-29031.066, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-24000.965, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-34879.359, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-32057.388, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-30708.825, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-29030.469, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-24001.889, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   1.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   1.6s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.9s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.755, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   1.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   1.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.758, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.807, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=-0.093, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.282, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.142, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.256, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.144, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=-0.093, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.282, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.142, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.256, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.144, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=-0.093, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.281, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.140, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.257, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.143, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=-0.093, total=   0.6s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.282, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.142, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.256, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.143, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=-0.094, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.279, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.140, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.259, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.145, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.857, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.909, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.892, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.909, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.870, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.857, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.909, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.892, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.909, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.870, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.856, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.909, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.893, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.909, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.870, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.857, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.909, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.892, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.909, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.870, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.859, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.910, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.892, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.911, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.870, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-36457.597, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-22737.184, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-30024.488, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-24677.298, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-23908.005, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-36457.596, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-22737.195, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-30024.480, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-24677.298, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-23908.005, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-36457.530, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-22737.280, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-30024.432, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-24677.263, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-23908.108, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-36457.596, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-22737.184, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-30024.489, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-24677.299, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-23908.005, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-36456.471, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-22737.004, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-30024.125, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-24676.737, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-23908.298, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   1.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   1.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   1.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.731, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   1.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.9s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.731, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.730, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   1.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   1.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   1.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.731, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.811, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.734, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=-0.080, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.284, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.135, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.252, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.152, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=-0.080, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.284, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.135, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.252, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.152, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=-0.081, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.283, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.135, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.252, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.151, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=-0.080, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.284, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.135, total=   0.6s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.252, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.152, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=-0.088, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.286, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.135, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.255, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.150, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.861, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.915, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.896, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.912, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.872, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.861, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.915, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.896, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.912, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.872, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.861, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.915, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.896, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.912, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.872, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.861, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.915, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.896, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.912, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.872, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.863, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.915, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.895, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.913, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.872, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-34200.517, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-22772.647, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-30704.581, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-29016.738, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-23995.055, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-34200.524, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-22772.494, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-30704.583, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-29016.717, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-23995.059, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-34200.606, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-22771.263, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-30704.452, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-29016.707, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-23995.086, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-34200.515, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-22772.660, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-30704.581, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-29016.736, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-23995.059, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-34200.816, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-22763.306, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-30703.620, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-29017.610, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-23995.650, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   1.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   1.6s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   1.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.731, total=   0.9s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   1.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.731, total=   1.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.8s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.730, total=   0.9s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   1.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   1.6s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   2.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   1.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.731, total=   1.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.811, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.734, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=-0.080, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.284, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.135, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.252, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.152, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=-0.080, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.284, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.135, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.252, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.152, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=-0.081, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.284, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.135, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.252, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.151, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=-0.080, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.284, total=   0.7s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.135, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.252, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.152, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=-0.082, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.288, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.136, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.250, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.155, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.861, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.915, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.897, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.912, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.872, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.861, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.915, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.897, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.912, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.872, total=   0.2s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.861, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.915, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.912, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.872, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.861, total=   0.3s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.915, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.897, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.912, total=   0.5s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.872, total=   0.4s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.864, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.914, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.896, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.912, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.872, total=   0.1s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-36460.036, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-21823.052, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-30021.196, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-25057.618, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-23895.990, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-36460.046, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-21823.055, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-30021.191, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-25057.620, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-23896.009, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-36460.084, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-21823.076, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-30021.154, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-25057.687, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-23896.224, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-36460.034, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-21823.052, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-30021.197, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-25057.618, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-23895.988, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-36460.024, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-21823.136, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-30019.744, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-25058.146, total=   0.0s
[CV] C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-23898.793, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   1.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.773, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.809, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.727, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.655, total=   3.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.716, total=   1.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.709, total=   1.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.755, total=   3.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.655, total=   1.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.655, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.716, total=   1.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.709, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.755, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.655, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.656, total=   0.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.716, total=   0.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.708, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.756, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.657, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.655, total=   7.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.716, total=   1.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.709, total=   2.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.755, total=   4.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.655, total=   1.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.652, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.719, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.705, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.758, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.661, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.855, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.906, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.890, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.905, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.866, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.855, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.906, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.890, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.905, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.866, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.855, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.906, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.890, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.906, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.866, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.855, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.906, total=   0.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.890, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.905, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.866, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.853, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.906, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.891, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.907, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.866, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-35380.480, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-32048.167, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-30710.485, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-29034.391, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-25542.330, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-35380.486, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-32048.167, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-30710.489, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-29034.393, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-25542.321, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-35380.430, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-32048.117, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-30710.369, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-29034.163, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-25542.284, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-35380.478, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-32048.166, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-30710.485, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-29034.394, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-25542.331, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-35381.258, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-32050.178, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-30709.596, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-29030.504, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-25541.831, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   1.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   1.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   1.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   1.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.773, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.809, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.727, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.655, total=   3.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.717, total=   2.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.709, total=   2.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.755, total=   3.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.655, total=   2.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.655, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.716, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.709, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.755, total=   1.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.655, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.654, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.717, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.709, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.754, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.652, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.655, total=   8.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.717, total=   2.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.709, total=   2.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.755, total=   8.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.655, total=   2.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.644, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.716, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.703, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.755, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.663, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.855, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.906, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.890, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.906, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.866, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.855, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.906, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.890, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.906, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.866, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.855, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.906, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.890, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.906, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.866, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.855, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.906, total=   0.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.890, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.906, total=   0.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.866, total=   0.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.855, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.905, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.890, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.906, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.866, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-36455.653, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-31459.615, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-30027.123, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-25062.322, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-26418.396, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-36455.641, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-31459.620, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-30027.120, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-25062.316, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-26418.371, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-36455.537, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-31459.624, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-30026.979, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-25062.237, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-26417.882, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-36455.655, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-31459.616, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-30027.124, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-25062.321, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-26418.402, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-36454.922, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-31458.363, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-30025.484, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-25062.978, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-26415.185, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   1.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   1.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   1.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   1.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   1.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   1.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   1.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   1.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.810, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.655, total=   4.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.718, total=   2.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.705, total=   4.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.757, total=   2.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.653, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.654, total=   1.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.718, total=   1.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.706, total=   1.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.757, total=   1.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.653, total=   1.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.654, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.717, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.709, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.756, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.650, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.655, total=   8.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.718, total=   3.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.705, total=   5.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.757, total=   3.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.653, total=   1.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.649, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.719, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.705, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.758, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.657, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.856, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.905, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.889, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.904, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.866, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.856, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.905, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.889, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.904, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.866, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.855, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.905, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.889, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.904, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.866, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.856, total=   0.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.905, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.889, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.904, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.866, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.852, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.904, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.890, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.906, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.868, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-35380.524, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-32047.884, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-30711.075, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-29560.387, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-25542.370, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-35380.529, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-32047.882, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-30711.081, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-29560.358, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-25542.367, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-35380.623, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-32047.844, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-30710.961, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-29560.132, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-25542.387, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-35380.523, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-32047.884, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-30711.075, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-29560.391, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-25542.371, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-35381.338, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-32047.772, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-30710.221, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-29558.487, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-25543.003, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   1.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   1.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   1.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   1.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   1.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.810, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.728, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.654, total=   2.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.718, total=   2.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.705, total=   4.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.757, total=   3.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.653, total=   1.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.654, total=   1.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.718, total=   1.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.706, total=   1.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.757, total=   1.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.653, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.654, total=   0.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.718, total=   0.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.709, total=   0.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.753, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.653, total=   0.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.654, total=   6.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.718, total=   4.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.706, total=   6.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.757, total=   4.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.653, total=   1.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.649, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.716, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.707, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.753, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.660, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.856, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.905, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.890, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.905, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.866, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.856, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.905, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.890, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.905, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.866, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.855, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.905, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.890, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.905, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.866, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.856, total=   0.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.905, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.890, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.905, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.866, total=   0.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.853, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.904, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.891, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.907, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.868, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-39768.979, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-31459.402, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-30027.716, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-25062.796, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-26417.425, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-39768.988, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-31459.392, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-30027.706, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-25062.784, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-26417.498, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-39769.101, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-31459.365, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-30027.601, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-25062.681, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-26418.107, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-39768.979, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-31459.401, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-30027.717, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-25062.796, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-26417.417, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-39769.827, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-31458.078, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-30028.698, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-25063.463, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-26417.046, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   1.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   1.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.755, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   1.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   1.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.755, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.758, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.807, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.728, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.658, total=   2.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.718, total=   2.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.706, total=   1.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.764, total=   2.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.665, total=   1.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.657, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.718, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.705, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.764, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.665, total=   1.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.659, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.719, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.704, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.765, total=   0.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.666, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.658, total=   5.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.718, total=   7.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.706, total=   9.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.764, total=   3.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.665, total=   8.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.657, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.716, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.709, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.768, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.677, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.857, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.909, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.892, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.909, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.870, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.857, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.909, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.892, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.909, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.870, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.857, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.909, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.892, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.909, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.870, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.857, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.909, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.892, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.909, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.870, total=   0.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.859, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.910, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.893, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.910, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.871, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-34875.917, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-32050.429, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-30707.858, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-29031.066, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-24000.967, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-34875.927, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-32050.494, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-30707.840, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-29031.074, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-24000.973, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-34876.291, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-32051.212, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-30707.881, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-29031.084, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-24001.054, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-34875.916, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-32050.424, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-30707.860, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-29031.066, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-24000.965, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-34879.359, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-32057.388, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-30708.825, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-29030.469, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-24001.889, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   1.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.755, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   1.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   1.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.755, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.772, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.758, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.807, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.728, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.658, total=   4.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.718, total=   3.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.706, total=   1.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.764, total=   2.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.665, total=   1.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.658, total=   1.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.718, total=   1.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.706, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.764, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.665, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.660, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.720, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.705, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.764, total=   0.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.665, total=   0.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.658, total=   6.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.718, total=   4.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.705, total=   4.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.764, total=   4.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.665, total=   3.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.661, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.712, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.712, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.767, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.675, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.857, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.909, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.892, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.909, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.870, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.857, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.909, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.892, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.909, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.870, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.856, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.909, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.893, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.909, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.870, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.857, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.909, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.892, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.909, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.870, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.859, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.910, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.892, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.911, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.870, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-36457.597, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-22737.184, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-30024.488, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-24677.298, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-23908.005, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-36457.596, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-22737.195, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-30024.480, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-24677.298, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-23908.005, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-36457.530, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-22737.280, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-30024.432, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-24677.263, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-23908.108, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-36457.596, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-22737.184, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-30024.489, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-24677.299, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-23908.005, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-36456.471, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-22737.004, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-30024.125, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-24676.737, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-23908.298, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   1.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   1.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   1.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.731, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   1.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.731, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.730, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   1.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   1.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.731, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.757, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.811, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.734, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.658, total=   2.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.715, total=   2.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.714, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.765, total=   1.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.669, total=   1.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.658, total=   1.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.715, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.714, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.765, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.669, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.658, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.715, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.713, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.766, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.669, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.658, total=   3.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.715, total=   7.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.714, total=   1.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.765, total=   2.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.669, total=   2.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.655, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.712, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.714, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.768, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.669, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.861, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.915, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.896, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.912, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.872, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.861, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.915, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.896, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.912, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.872, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.861, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.915, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.896, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.912, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.872, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.861, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.915, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.896, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.912, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.872, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.863, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.915, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.895, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.913, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.872, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-34200.517, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-22772.647, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-30704.581, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-29016.738, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-23995.055, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-34200.524, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-22772.494, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-30704.583, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-29016.717, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-23995.059, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-34200.606, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-22771.263, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-30704.452, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-29016.707, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-23995.086, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-34200.515, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-22772.660, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-30704.581, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-29016.736, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-23995.059, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-34200.816, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-22763.306, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-30703.620, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-29017.610, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-23995.650, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   1.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   1.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   1.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.731, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   1.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.731, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.730, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   1.6s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   1.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   1.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.731, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.757, total=   0.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.811, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.734, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.658, total=   1.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.715, total=   3.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.714, total=   1.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.765, total=   2.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.669, total=   1.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.658, total=   0.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.715, total=   1.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.714, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.765, total=   1.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.669, total=   0.9s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.658, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.715, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.713, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.766, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.670, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.658, total=   3.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.715, total=   9.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.714, total=   2.7s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.765, total=   2.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.669, total=   2.8s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.654, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.714, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.714, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.767, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.672, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.861, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.915, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.897, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.912, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.872, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.861, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.915, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.897, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.912, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.872, total=   0.2s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.861, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.915, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.897, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.912, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.872, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.861, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.915, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.897, total=   0.3s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.912, total=   0.5s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.872, total=   0.4s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.864, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.914, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.896, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.912, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.872, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-36460.036, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-21823.052, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-30021.196, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-25057.618, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-23895.990, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-36460.046, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-21823.055, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-30021.191, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-25057.620, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-23896.009, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-36460.084, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-21823.076, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-30021.154, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-25057.687, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-23896.224, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-36460.034, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-21823.052, total=   0.1s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-30021.197, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-25057.618, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-23895.988, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-36460.024, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-21823.136, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-30019.744, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-25058.146, total=   0.0s
[CV] C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=500, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-23898.793, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   2.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   1.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   2.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   1.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   1.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   1.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   1.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   2.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   2.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   2.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   1.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.772, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.757, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.809, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.727, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=-0.102, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.281, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.146, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.257, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.146, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=-0.102, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.281, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.145, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.257, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.146, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=-0.101, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.279, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.147, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.257, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.147, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=-0.102, total=   0.8s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.281, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.146, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.257, total=   0.8s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.146, total=   1.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=-0.099, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.279, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.132, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.253, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.149, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.849, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.900, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.883, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.909, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.870, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.849, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.900, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.883, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.909, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.870, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.849, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.900, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.883, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.909, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.869, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.849, total=   0.8s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.900, total=   0.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.883, total=   0.9s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.909, total=   0.8s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.870, total=   0.8s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.849, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.900, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.884, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.910, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.870, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-85570.222, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-72853.307, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-72802.592, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-43502.770, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-52432.220, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-85570.202, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-72853.282, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-72802.629, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-43502.773, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-52432.205, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-85570.017, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-72853.471, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-72803.258, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-43502.613, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-52431.970, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-85570.226, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-72853.310, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-72802.589, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-43502.770, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-52432.222, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-85455.208, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-72854.167, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-72808.919, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-43502.794, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-52430.068, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.8s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   2.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   1.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   1.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   1.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   1.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   2.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   1.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   2.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   2.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   1.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.772, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.757, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.809, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.727, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=-0.102, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.281, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.146, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.257, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.146, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=-0.103, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.281, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.145, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.257, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.146, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=-0.103, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.278, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.145, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.259, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.147, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=-0.102, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.281, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.146, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.257, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.146, total=   1.8s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=-0.098, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.276, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.132, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.253, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.141, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.849, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.900, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.883, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.910, total=   0.8s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.870, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.849, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.900, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.883, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.910, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.870, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.849, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.900, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.883, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.910, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.869, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.849, total=   0.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.900, total=   0.8s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.883, total=   0.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.910, total=   1.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.870, total=   0.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.849, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.900, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.884, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.910, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.869, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-79501.702, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-68632.788, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-67561.742, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-62961.242, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-63712.461, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-79501.701, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-68632.777, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-67561.742, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-62961.195, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-63712.440, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-79501.724, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-68632.652, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-67561.752, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-62960.749, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-63712.132, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-79501.702, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-68632.787, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-67561.741, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-62961.248, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-63712.465, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-79501.633, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-68633.495, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-67561.658, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-62957.134, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-63710.451, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   1.8s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   2.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   1.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   1.9s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   1.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   1.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   1.8s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   1.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   1.9s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   2.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.756, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.772, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.755, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.810, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.728, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=-0.110, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.280, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.142, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.261, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.144, total=   0.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=-0.110, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.280, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.142, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.261, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.144, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=-0.110, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.284, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.144, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.261, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.143, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=-0.110, total=   0.8s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.280, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.142, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.261, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.144, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=-0.106, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.268, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.135, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.260, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.146, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.849, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.898, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.883, total=   0.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.909, total=   0.8s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.869, total=   0.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.849, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.898, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.883, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.909, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.869, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.849, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.898, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.883, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.909, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.869, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.849, total=   0.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.898, total=   0.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.883, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.909, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.869, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.848, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.900, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.885, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.909, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.869, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-85569.056, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-73861.307, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-72802.543, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-47318.177, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-52432.032, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-85569.047, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-73861.326, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-72802.651, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-47318.103, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-52432.021, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-85568.980, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-73861.654, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-72803.400, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-47317.043, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-52431.790, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-85569.059, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-73861.303, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-72802.526, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-47318.186, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-52432.033, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-85454.276, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-73863.799, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-72808.905, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-47310.892, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-52429.815, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   1.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   1.9s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   1.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   1.9s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   1.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   1.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   2.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   1.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   1.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   1.9s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   2.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.756, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.772, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.755, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.810, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.728, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=-0.110, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.280, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.142, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.260, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.144, total=   0.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=-0.110, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.280, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.142, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.260, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.144, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=-0.108, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.283, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.144, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.260, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.143, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=-0.110, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.280, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.142, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.261, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.144, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=-0.106, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.271, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.127, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.258, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.143, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.849, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.898, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.883, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.909, total=   0.8s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.869, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.849, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.898, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.883, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.909, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.869, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.849, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.899, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.883, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.909, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.869, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.849, total=   0.8s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.898, total=   0.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.883, total=   0.9s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.909, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.869, total=   0.8s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.848, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.900, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.884, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.910, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.869, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-79386.385, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-67392.830, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-67562.446, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-62961.578, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-55315.425, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-79386.349, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-67392.766, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-67562.437, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-62961.519, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-55315.402, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-79386.216, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-67392.535, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-67562.436, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-62961.154, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-55315.283, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-79386.387, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-67392.831, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-67562.446, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-62961.583, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-55315.424, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-79386.456, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-67388.332, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-67562.259, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-62955.764, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-55317.788, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.755, total=   1.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   1.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   1.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   1.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   1.9s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   2.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   1.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.755, total=   1.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   1.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   1.8s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   1.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   2.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.756, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.773, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.758, total=   1.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.807, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.729, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=-0.093, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.278, total=   1.8s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.142, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.255, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.144, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=-0.093, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.278, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.142, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.255, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.144, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=-0.093, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.278, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.140, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.257, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.143, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=-0.093, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.278, total=   1.9s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.142, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.255, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.144, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=-0.089, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.282, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.133, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.261, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.138, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.852, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.904, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.884, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.912, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.872, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.852, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.904, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.884, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.912, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.872, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.852, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.904, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.885, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.912, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.871, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.852, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.904, total=   0.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.884, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.912, total=   0.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.872, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.854, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.904, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.885, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.911, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.872, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-85575.418, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-72560.163, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-72802.869, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-60793.452, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-52223.266, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-85575.412, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-72560.229, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-72802.888, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-60793.451, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-52223.287, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-85575.265, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-72560.943, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-72803.890, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-60793.335, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-52223.461, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-85575.420, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-72560.154, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-72802.867, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-60793.453, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-52223.264, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-85575.124, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-72568.329, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-72810.017, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-60793.200, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-52224.845, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.755, total=   1.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   1.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   1.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   1.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   1.9s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   1.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   1.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.755, total=   1.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   1.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   1.9s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   1.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   2.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.756, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.773, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.758, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.807, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.729, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=-0.093, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.278, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.142, total=   1.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.255, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.144, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=-0.093, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.278, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.142, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.255, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.144, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=-0.093, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.277, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.140, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.256, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.142, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=-0.093, total=   0.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.278, total=   0.8s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.142, total=   2.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.255, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.144, total=   0.8s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=-0.097, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.279, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.131, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.255, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.143, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.852, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.904, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.885, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.912, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.872, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.852, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.904, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.885, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.912, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.872, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.852, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.904, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.885, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.912, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.871, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.852, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.904, total=   0.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.885, total=   0.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.912, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.872, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.855, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.905, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.886, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.911, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.872, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-79389.635, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-68493.307, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-67558.610, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-62959.754, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-63715.611, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-79389.618, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-68493.188, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-67558.617, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-62959.702, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-63715.587, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-79389.284, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-68492.335, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-67558.801, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-62959.381, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-63715.116, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-79389.638, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-68493.316, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-67558.610, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-62959.760, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-63715.616, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-79390.158, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-68479.916, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-67557.462, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-62954.968, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-63711.953, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   1.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   1.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   1.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.731, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   1.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   1.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   1.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.731, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   1.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.730, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   1.9s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   3.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   1.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.731, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   0.9s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.758, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.808, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.736, total=   0.9s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=-0.092, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.283, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.135, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.253, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.152, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=-0.092, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.283, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.135, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.252, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.151, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=-0.087, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.282, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.135, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.253, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.151, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=-0.092, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.283, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.135, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.252, total=   0.8s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.152, total=   0.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=-0.088, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.286, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.135, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.253, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.150, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.855, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.911, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.885, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.911, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.873, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.855, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.911, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.885, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.911, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.873, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.855, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.911, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.885, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.911, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.872, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.855, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.911, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.885, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.911, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.873, total=   0.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.856, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.911, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.885, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.911, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.872, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-85581.928, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-54214.349, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-69078.009, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-60794.321, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-52434.116, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-85581.930, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-54214.353, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-69078.009, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-60794.321, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-52434.133, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-85581.766, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-54214.139, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-69077.889, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-60794.234, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-52434.273, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-85581.929, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-54214.349, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-69078.008, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-60794.322, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-52434.115, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-85580.308, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-54212.336, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-69077.547, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-60794.258, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-52436.259, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   1.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   1.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   1.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.731, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   1.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   1.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   1.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.731, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   1.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.730, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   1.7s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   1.9s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   3.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   1.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.731, total=   1.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   0.9s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.9s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.758, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.808, total=   1.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.736, total=   0.9s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=-0.092, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.283, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.135, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.252, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.152, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=-0.092, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.283, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.135, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.252, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.151, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=-0.088, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.282, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.134, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.253, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.151, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=-0.092, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.283, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.135, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.252, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.152, total=   0.5s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=-0.093, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.292, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.134, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.253, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.150, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.855, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.911, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.886, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.911, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.872, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.855, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.911, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.886, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.911, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.872, total=   0.3s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.855, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.911, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.886, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.911, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.872, total=   0.2s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.855, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.911, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.886, total=   0.6s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.911, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.872, total=   0.4s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.856, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.910, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.886, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.912, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.871, total=   0.1s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-79086.080, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-48962.816, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-67554.696, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-62957.895, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-63922.023, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-79086.125, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-48962.774, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-67554.711, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-62957.860, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-63921.998, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-79086.628, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-48962.428, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-67554.706, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-62957.221, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-63922.142, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-79086.080, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-48962.819, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-67554.698, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-62957.902, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-63922.026, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-79389.800, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-48957.662, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-67556.623, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-62954.709, total=   0.0s
[CV] C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-63925.502, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   2.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   2.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   1.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   2.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   2.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   2.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.772, total=   0.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.757, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.809, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.727, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.651, total=   2.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.714, total=   3.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.702, total=   2.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.750, total=   2.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.651, total=   1.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.651, total=   1.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.714, total=   2.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.703, total=   1.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.751, total=   1.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.651, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.650, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.714, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.702, total=   0.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.751, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.654, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.651, total=   4.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.714, total=   4.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.702, total=   4.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.750, total=   4.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.651, total=   3.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.643, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.719, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.707, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.754, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.657, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.849, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.900, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.883, total=   0.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.909, total=   0.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.870, total=   0.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.849, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.900, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.883, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.909, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.870, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.849, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.900, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.883, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.909, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.869, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.849, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.900, total=   0.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.883, total=   0.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.909, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.870, total=   0.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.849, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.900, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.884, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.910, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.870, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-85570.222, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-72853.307, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-72802.592, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-43502.770, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-52432.220, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-85570.202, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-72853.282, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-72802.629, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-43502.773, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-52432.205, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-85570.017, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-72853.471, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-72803.258, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-43502.613, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-52431.970, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-85570.226, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-72853.310, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-72802.589, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-43502.770, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-52432.222, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-85455.208, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-72854.167, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-72808.919, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-43502.794, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-52430.068, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   2.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   1.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   2.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   2.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   2.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.772, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.757, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.809, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.727, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.650, total=   3.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.714, total=   2.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.702, total=   2.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.750, total=   3.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.651, total=   2.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.651, total=   1.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.714, total=   1.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.702, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.750, total=   1.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.652, total=   1.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.649, total=   0.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.713, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.703, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.751, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.652, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.650, total=   3.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.714, total=   5.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.702, total=   3.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.750, total=   5.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.651, total=   4.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.643, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.718, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.707, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.755, total=   0.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.663, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.849, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.900, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.883, total=   0.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.910, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.870, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.849, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.900, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.883, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.910, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.870, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.849, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.900, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.883, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.910, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.869, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.849, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.900, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.883, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.910, total=   1.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.870, total=   0.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.849, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.900, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.884, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.910, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.869, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-79501.702, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-68632.788, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-67561.742, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-62961.242, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-63712.461, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-79501.701, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-68632.777, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-67561.742, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-62961.195, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-63712.440, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-79501.724, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-68632.652, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-67561.752, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-62960.749, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-63712.132, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-79501.702, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-68632.787, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-67561.741, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-62961.248, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-63712.465, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-79501.633, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-68633.495, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-67561.658, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-62957.134, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-63710.451, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   2.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   2.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   1.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   1.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   1.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   1.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   2.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   2.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.756, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.772, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.755, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.810, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.728, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.650, total=   4.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.715, total=   5.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.704, total=   4.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.751, total=   6.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.648, total=   2.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.651, total=   1.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.715, total=   1.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.704, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.751, total=   2.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.648, total=   1.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.652, total=   0.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.716, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.705, total=   0.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.751, total=   1.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.648, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.650, total=   8.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.715, total=   6.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.704, total=   3.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.751, total=   5.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.648, total=   3.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.651, total=   0.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.719, total=   0.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.709, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.748, total=   0.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.650, total=   0.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.849, total=   0.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.898, total=   0.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.883, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.909, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.869, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.849, total=   0.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.898, total=   0.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.883, total=   0.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.909, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.869, total=   0.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.849, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.898, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.883, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.909, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.869, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.849, total=   0.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.898, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.883, total=   1.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.909, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.869, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.848, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.900, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.885, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.909, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.869, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-85569.056, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-73861.307, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-72802.543, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-47318.177, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-52432.032, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-85569.047, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-73861.326, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-72802.651, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-47318.103, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-52432.021, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-85568.980, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-73861.654, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-72803.400, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-47317.043, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-52431.790, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-85569.059, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-73861.303, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-72802.526, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-47318.186, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-52432.033, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-85454.276, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-73863.799, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-72808.905, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-47310.892, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-52429.815, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   2.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   2.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   2.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   2.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   1.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   1.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   1.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   1.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   1.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   1.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   2.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   1.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   1.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   2.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   2.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.756, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.772, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.755, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.810, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.728, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.650, total=   2.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.715, total=   3.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.704, total=   2.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.751, total=   4.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.648, total=   2.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.651, total=   2.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.715, total=   2.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.704, total=   1.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.751, total=   2.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.648, total=   1.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.651, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.716, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.704, total=   0.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.751, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.646, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.650, total=   4.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.715, total=   7.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.704, total=   3.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.751, total=   7.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.648, total=   3.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.651, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.719, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.707, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.754, total=   0.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.654, total=   0.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.849, total=   0.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.898, total=   0.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.883, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.909, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.869, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.849, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.898, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.883, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.909, total=   0.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.869, total=   0.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.849, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.899, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.883, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.909, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.869, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.849, total=   0.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.898, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.883, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.909, total=   1.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.869, total=   0.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.848, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.900, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.884, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.910, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.869, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-79386.385, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-67392.830, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-67562.446, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-62961.578, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-55315.425, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-79386.349, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-67392.766, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-67562.437, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-62961.519, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-55315.402, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-79386.216, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-67392.535, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-67562.436, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-62961.154, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-55315.283, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-79386.387, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-67392.831, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-67562.446, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-62961.583, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-55315.424, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-79386.456, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-67388.332, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-67562.259, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-62955.764, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-55317.788, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.755, total=   2.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   1.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   1.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   2.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   1.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   1.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   1.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   1.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   1.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.755, total=   1.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   1.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   1.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   1.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   2.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.756, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.773, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.758, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.807, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.729, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.653, total=   3.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.717, total=   6.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.707, total=   2.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.762, total=   5.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.660, total=   2.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.653, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.718, total=   2.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.707, total=   1.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.762, total=   2.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.660, total=   1.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.654, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.717, total=   0.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.707, total=   0.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.763, total=   0.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.661, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.653, total=   5.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.717, total=   6.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.707, total=   4.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.762, total=   2.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.660, total=   3.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.641, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.717, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.709, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.764, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.674, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.852, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.904, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.884, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.912, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.872, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.852, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.904, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.884, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.912, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.872, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.852, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.904, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.885, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.912, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.871, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.852, total=   0.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.904, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.884, total=   0.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.912, total=   0.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.872, total=   0.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.854, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.904, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.885, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.911, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.872, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-85575.418, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-72560.163, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-72802.869, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-60793.452, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-52223.266, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-85575.412, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-72560.229, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-72802.888, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-60793.451, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-52223.287, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-85575.265, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-72560.943, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-72803.890, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-60793.335, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-52223.461, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-85575.420, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-72560.154, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-72802.867, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-60793.453, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-52223.264, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-85575.124, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-72568.329, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-72810.017, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-60793.200, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-52224.845, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.755, total=   1.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   1.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   1.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   1.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   1.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.755, total=   1.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   1.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   1.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   1.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   2.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.756, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.773, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.758, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.807, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.729, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.653, total=   4.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.717, total=   5.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.707, total=   2.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.762, total=   3.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.660, total=   2.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.653, total=   2.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.717, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.707, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.761, total=   1.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.660, total=   1.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.651, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.717, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.706, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.764, total=   0.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.662, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.653, total=   7.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.717, total=  10.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.707, total=   3.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.762, total=   5.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.660, total=   3.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.646, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.716, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.710, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.762, total=   0.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.675, total=   0.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.852, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.904, total=   0.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.885, total=   0.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.912, total=   0.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.872, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.852, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.904, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.885, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.912, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.872, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.852, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.904, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.885, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.912, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.871, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.852, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.904, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.885, total=   0.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.912, total=   1.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.872, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.855, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.905, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.886, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.911, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.872, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-79389.635, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-68493.307, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-67558.610, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-62959.754, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-63715.611, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-79389.618, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-68493.188, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-67558.617, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-62959.702, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-63715.587, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-79389.284, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-68492.335, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-67558.801, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-62959.381, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-63715.116, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-79389.638, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-68493.316, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-67558.610, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-62959.760, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-63715.616, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-79390.158, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-68479.916, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-67557.462, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-62954.968, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-63711.953, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   2.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   1.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   1.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.731, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   1.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.731, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.730, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   1.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   3.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.731, total=   1.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.758, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.808, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.736, total=   0.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.645, total=   2.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.714, total=   1.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.714, total=   3.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.761, total=   3.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.667, total=   2.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.645, total=   1.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.713, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.714, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.761, total=   1.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.667, total=   1.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.647, total=   0.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.713, total=   0.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.713, total=   0.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.761, total=   0.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.669, total=   0.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.645, total=   3.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.714, total=   3.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.714, total=   5.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.761, total=   6.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.667, total=   3.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.641, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.712, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.714, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.765, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.673, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.855, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.911, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.885, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.911, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.873, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.855, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.911, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.885, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.911, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.873, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.855, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.911, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.885, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.911, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.872, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.855, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.911, total=   0.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.885, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.911, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.873, total=   0.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.856, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.911, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.885, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.911, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.872, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-85581.928, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-54214.349, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-69078.009, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-60794.321, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-52434.116, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-85581.930, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-54214.353, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-69078.009, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-60794.321, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-52434.133, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-85581.766, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-54214.139, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-69077.889, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-60794.234, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-52434.273, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-85581.929, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-54214.349, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-69078.008, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-60794.322, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-52434.115, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-85580.308, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-54212.336, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-69077.547, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-60794.258, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-52436.259, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   1.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   1.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.731, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   1.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.731, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   1.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.730, total=   1.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   1.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   1.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   3.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.731, total=   1.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   0.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.758, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.808, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.736, total=   0.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.644, total=   3.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.714, total=   1.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.714, total=   1.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.761, total=   3.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.667, total=   2.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.645, total=   2.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.714, total=   1.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.714, total=   1.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.760, total=   1.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.667, total=   1.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.646, total=   1.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.713, total=   0.7s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.713, total=   0.9s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.761, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.667, total=   0.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.644, total=   5.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.714, total=   2.8s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.714, total=  14.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.761, total=  10.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.667, total=   6.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.639, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.712, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.712, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.763, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.673, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.855, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.911, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.886, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.911, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.872, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.855, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.911, total=   0.3s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.886, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.911, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.872, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.855, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.911, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.886, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.911, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.872, total=   0.2s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.855, total=   0.4s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.911, total=   0.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.886, total=   0.6s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.911, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.872, total=   0.5s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.856, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.910, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.886, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.912, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.871, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-79086.080, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-48962.816, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-67554.696, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-62957.895, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-63922.023, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-79086.125, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-48962.774, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-67554.711, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-62957.860, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-63921.998, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-79086.628, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-48962.428, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-67554.706, total=   0.1s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-62957.221, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-63922.142, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-79086.080, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-48962.819, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-67554.698, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-62957.902, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-63922.026, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-79389.800, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-48957.662, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-67556.623, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-62954.709, total=   0.0s
[CV] C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=750, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-63925.502, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.9s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   1.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   3.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   2.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   2.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.9s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   1.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   2.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   1.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   2.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   1.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   2.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   1.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   1.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.772, total=   1.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.809, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.727, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=-0.102, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.281, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.146, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.257, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.146, total=   0.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=-0.102, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.281, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.145, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.257, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.146, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=-0.103, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.280, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.144, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.257, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.147, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=-0.102, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.281, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.146, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.257, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.146, total=   4.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=-0.103, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.276, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.135, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.255, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.143, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.849, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.898, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.882, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.910, total=   0.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.870, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.849, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.898, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.882, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.910, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.870, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.849, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.898, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.882, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.910, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.870, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.849, total=   0.9s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.898, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.882, total=   0.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.910, total=   1.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.870, total=   0.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.848, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.899, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.884, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.909, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.870, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-88748.180, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-82599.199, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-82834.901, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-79474.812, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-59656.559, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-88748.243, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-82599.303, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-82834.920, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-79474.841, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-59656.540, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-88748.614, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-82599.950, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-82836.739, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-79475.220, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-59656.381, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-88748.176, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-82599.190, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-82834.894, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-79474.810, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-59656.561, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-88751.726, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-82607.590, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-82836.446, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-79475.239, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-59654.376, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.9s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   1.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   2.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   1.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   1.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   1.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   2.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   1.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   1.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   1.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   1.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   2.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   1.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   3.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   1.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   1.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   1.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.772, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.809, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.727, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=-0.102, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.281, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.146, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.257, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.146, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=-0.102, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.281, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.147, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.257, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.146, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=-0.105, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.279, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.145, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.256, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.147, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=-0.102, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.281, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.146, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.257, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.146, total=   2.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=-0.102, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.273, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.133, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.254, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.140, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.849, total=   0.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.898, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.882, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.910, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.870, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.849, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.899, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.882, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.910, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.870, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.849, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.899, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.882, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.911, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.870, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.849, total=   1.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.898, total=   0.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.882, total=   0.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.910, total=   0.9s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.870, total=   0.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.847, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.900, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.884, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.911, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.871, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-90455.702, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-77275.021, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-76871.116, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-71638.131, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-72450.092, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-90455.696, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-77275.013, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-76871.142, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-71638.083, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-72450.116, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-90455.610, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-77274.941, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-76871.296, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-71637.437, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-72450.553, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-90455.703, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-77275.022, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-76871.119, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-71638.137, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-72450.092, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-90455.404, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-77272.103, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-76872.774, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-71633.439, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-72455.690, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   1.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   1.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   2.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   2.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   1.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   1.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   1.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   1.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   1.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   1.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   1.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   1.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   1.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.9s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   1.9s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   1.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.756, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.772, total=   1.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.756, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.810, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.728, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=-0.111, total=   0.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.278, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.142, total=   0.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.260, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.144, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=-0.111, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.279, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.142, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.260, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.144, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=-0.111, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.278, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.143, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.260, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.143, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=-0.111, total=   1.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.278, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.142, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.261, total=   0.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.144, total=   0.9s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=-0.103, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.273, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.132, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.257, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.146, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.849, total=   0.9s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.897, total=   0.9s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.882, total=   0.9s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.909, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.870, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.849, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.897, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.882, total=   0.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.909, total=   0.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.870, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.848, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.897, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.882, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.910, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.870, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.849, total=   1.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.897, total=   0.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.882, total=   0.9s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.909, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.870, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.847, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.898, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.882, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.911, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.871, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-88109.505, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-84036.770, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-82834.832, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-79472.793, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-59656.357, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-88109.526, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-84036.750, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-82834.852, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-79472.744, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-59656.349, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-88109.544, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-84036.584, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-82836.399, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-79473.466, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-59655.989, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-88109.505, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-84036.772, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-82834.828, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-79472.790, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-59656.360, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-88109.851, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-84032.993, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-82835.529, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-79473.134, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-59653.940, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   1.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   1.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   2.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   2.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   1.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   1.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   1.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   1.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   1.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   1.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   1.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   1.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   2.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   2.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   1.9s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   1.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.756, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.772, total=   1.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.756, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.810, total=   1.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.728, total=   1.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=-0.111, total=   0.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.279, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.142, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.261, total=   0.9s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.144, total=   1.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=-0.111, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.280, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.142, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.260, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.144, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=-0.111, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.281, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.144, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.261, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.142, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=-0.111, total=   0.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.279, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.142, total=   0.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.261, total=   0.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.144, total=   0.9s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=-0.097, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.270, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.131, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.258, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.144, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.849, total=   0.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.897, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.882, total=   0.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.910, total=   1.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.870, total=   0.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.849, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.897, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.882, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.910, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.870, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.849, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.897, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.882, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.910, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.869, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.849, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.897, total=   0.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.882, total=   1.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.910, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.870, total=   0.9s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.847, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.899, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.883, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.910, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.870, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-90455.740, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-78207.820, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-76871.868, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-71638.488, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-73110.755, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-90455.746, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-78207.619, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-76871.886, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-71638.440, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-73110.866, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-90455.717, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-78205.826, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-76871.979, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-71637.791, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-73112.004, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-90455.739, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-78207.840, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-76871.870, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-71638.495, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-73110.743, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-90455.596, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-78187.272, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-76872.816, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-71633.768, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-73125.678, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.755, total=   3.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   2.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   1.9s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   1.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   1.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   1.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   1.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   1.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   1.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.755, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   1.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.755, total=   2.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   2.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   2.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   2.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   3.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.755, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.773, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.757, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.808, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.728, total=   1.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=-0.093, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.278, total=   1.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.142, total=   1.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.255, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.144, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=-0.093, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.278, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.142, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.255, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.144, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=-0.093, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.277, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.139, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.257, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.142, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=-0.093, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.278, total=   4.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.142, total=   1.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.255, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.144, total=   1.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=-0.093, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.275, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.137, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.253, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.144, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.851, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.903, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.883, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.912, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.872, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.851, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.903, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.883, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.912, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.872, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.852, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.903, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.883, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.912, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.872, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.851, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.903, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.883, total=   0.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.912, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.872, total=   0.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.855, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.903, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.884, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.911, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.871, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-88354.560, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-80592.205, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-81826.629, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-78882.007, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-59823.459, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-88354.629, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-80592.211, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-81826.666, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-78881.990, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-59823.439, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-88355.295, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-80592.298, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-81826.971, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-78882.207, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-59823.327, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-88354.555, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-80592.205, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-81826.623, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-78882.009, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-59823.460, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-88361.680, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-80595.317, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-81833.310, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-78882.261, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-59821.525, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.755, total=   2.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   1.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   1.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   2.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   1.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   2.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   1.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   1.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.755, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   1.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.755, total=   2.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   1.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   1.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   2.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   3.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.755, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.773, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.757, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.808, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.728, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=-0.093, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.278, total=   1.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.142, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.254, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.144, total=   0.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=-0.093, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.278, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.142, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.254, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.144, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=-0.093, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.279, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.140, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.255, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.141, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=-0.093, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.278, total=   6.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.142, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.254, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.144, total=   2.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=-0.090, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.278, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.135, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.253, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.145, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.851, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.903, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.883, total=   0.9s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.912, total=   0.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.872, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.851, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.903, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.883, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.912, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.872, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.852, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.903, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.884, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.912, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.872, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.851, total=   0.9s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.903, total=   0.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.883, total=   0.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.912, total=   1.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.872, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.852, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.903, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.884, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.911, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.872, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-90455.545, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-58825.988, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-76867.779, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-71636.542, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-72488.513, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-90455.541, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-58825.999, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-76867.772, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-71636.483, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-72488.447, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-90455.584, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-58826.293, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-76867.769, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-71636.001, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-72488.199, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-90455.544, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-58825.984, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-76867.779, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-71636.548, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-72488.517, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-90457.607, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-58828.019, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-76868.473, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-71631.412, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-72482.928, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.9s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   2.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   2.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   2.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.731, total=   2.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   1.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   1.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   1.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.731, total=   1.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.731, total=   1.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   1.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   4.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   1.9s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.731, total=   1.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   1.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.773, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.757, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.810, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.734, total=   1.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=-0.090, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.283, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.135, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.252, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.152, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=-0.090, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.283, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.135, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.253, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.151, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=-0.089, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.283, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.134, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.252, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.152, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=-0.089, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.283, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.135, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.252, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.152, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=-0.090, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.285, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.127, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.252, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.157, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.855, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.909, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.883, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.911, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.873, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.855, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.909, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.883, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.911, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.873, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.855, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.909, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.884, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.911, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.872, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.855, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.909, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.883, total=   0.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.911, total=   0.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.873, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.857, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.909, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.882, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.911, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.871, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-88352.575, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-56316.694, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-81824.023, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-78251.436, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-59432.351, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-88352.649, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-56316.697, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-81824.083, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-78251.549, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-59432.355, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-88353.442, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-56316.711, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-81824.395, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-78252.254, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-59432.551, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-88352.569, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-56316.693, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-81824.018, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-78251.428, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-59432.349, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-88358.358, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-56316.626, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-81827.992, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-78256.372, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-59433.516, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   1.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   2.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   2.9s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.731, total=   2.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   1.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   1.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   2.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.731, total=   2.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   1.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   1.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   1.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.731, total=   1.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   8.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   2.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   6.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   2.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.731, total=   1.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.773, total=   1.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.757, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.810, total=   1.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.734, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=-0.089, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.283, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.135, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.253, total=   1.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.152, total=   0.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=-0.090, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.283, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.135, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.252, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.152, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=-0.089, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.281, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.135, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.251, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.151, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=-0.089, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.283, total=   1.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.135, total=   1.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.252, total=   1.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.152, total=   0.7s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=-0.093, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.283, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.135, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.249, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.149, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.855, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.909, total=   0.5s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.884, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.911, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.873, total=   0.4s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.855, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.909, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.884, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.911, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.873, total=   0.3s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.855, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.909, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.884, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.911, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.872, total=   0.2s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.855, total=   0.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.909, total=   0.8s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.884, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.911, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.873, total=   0.6s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.855, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.909, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.883, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.912, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.872, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-89984.039, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-60893.921, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-76863.608, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-71634.556, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-72492.705, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-89984.056, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-60893.905, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-76863.605, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-71634.498, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-72492.671, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-89984.416, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-60893.887, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-76863.783, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-71634.021, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-72492.448, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-89984.035, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-60893.922, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-76863.607, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-71634.562, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-72492.708, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-89986.534, total=   0.1s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-60895.011, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-76862.126, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-71629.474, total=   0.0s
[CV] C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-72488.816, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   2.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   2.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   1.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   1.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   2.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   2.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   1.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   1.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   1.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   2.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   1.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   3.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   2.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   1.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.772, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.755, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.809, total=   1.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.727, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.650, total=   3.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.714, total=   2.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.702, total=   3.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.750, total=   5.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.650, total=   3.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.650, total=   1.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.714, total=   2.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.703, total=   1.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.750, total=   2.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.650, total=   1.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.649, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.714, total=   0.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.703, total=   0.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.751, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.651, total=   0.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.650, total=   2.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.714, total=   6.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.702, total=   4.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.750, total=  13.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.650, total=   7.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.647, total=   0.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.719, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.707, total=   0.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.752, total=   0.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.659, total=   0.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.849, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.898, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.882, total=   0.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.910, total=   1.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.870, total=   0.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.849, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.898, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.882, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.910, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.870, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.849, total=   0.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.898, total=   0.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.882, total=   0.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.910, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.870, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.849, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.898, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.882, total=   0.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.910, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.870, total=   0.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.848, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.899, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.884, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.909, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.870, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-88748.180, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-82599.199, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-82834.901, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-79474.812, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-59656.559, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-88748.243, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-82599.303, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-82834.920, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-79474.841, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-59656.540, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-88748.614, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-82599.950, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-82836.739, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-79475.220, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-59656.381, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-88748.176, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-82599.190, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-82834.894, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-79474.810, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-59656.561, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-88751.726, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-82607.590, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-82836.446, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-79475.239, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-59654.376, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   2.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   1.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   2.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   1.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   1.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   1.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   1.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   1.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   1.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   2.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   1.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   2.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   1.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.772, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.755, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.809, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.727, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.650, total=   4.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.714, total=   3.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.702, total=   1.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.750, total=   3.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.650, total=   2.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.650, total=   2.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.714, total=   1.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.702, total=   1.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.750, total=   2.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.649, total=   1.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.649, total=   0.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.714, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.703, total=   0.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.751, total=   1.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.652, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.650, total=   5.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.714, total=   6.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.702, total=   2.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.750, total=   6.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.650, total=   4.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.648, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.720, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.706, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.754, total=   0.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.657, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.849, total=   0.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.898, total=   0.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.882, total=   0.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.910, total=   0.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.870, total=   0.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.849, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.899, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.882, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.910, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.870, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.849, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.899, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.882, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.911, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.870, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.849, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.898, total=   0.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.882, total=   0.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.910, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.870, total=   0.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.847, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.900, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.884, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.911, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.871, total=   0.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-90455.702, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-77275.021, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-76871.116, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-71638.131, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-72450.092, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-90455.696, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-77275.013, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-76871.142, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-71638.083, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-72450.116, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-90455.610, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-77274.941, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-76871.296, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-71637.437, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-72450.553, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-90455.703, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-77275.022, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-76871.119, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-71638.137, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-72450.092, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-90455.404, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-77272.103, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-76872.774, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-71633.439, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-72455.690, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   2.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   1.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   2.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   2.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   1.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   1.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   1.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   1.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   1.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   1.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   1.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   1.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   2.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   2.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   1.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.756, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.772, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.756, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.810, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.728, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.651, total=   4.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.716, total=   4.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.705, total=   2.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.751, total=   3.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.649, total=   2.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.651, total=   2.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.716, total=   2.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.705, total=   2.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.751, total=   2.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.648, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.652, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.717, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.704, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.751, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.649, total=   0.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.651, total=   6.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.716, total=   6.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.705, total=   3.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.751, total=   4.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.649, total=   4.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.651, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.717, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.707, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.752, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.649, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.849, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.897, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.882, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.909, total=   0.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.870, total=   0.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.849, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.897, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.882, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.909, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.870, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.848, total=   0.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.897, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.882, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.910, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.870, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.849, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.897, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.882, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.909, total=   1.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.870, total=   1.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.847, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.898, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.882, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.911, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.871, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-88109.505, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-84036.770, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-82834.832, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-79472.793, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-59656.357, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-88109.526, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-84036.750, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-82834.852, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-79472.744, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-59656.349, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-88109.544, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-84036.584, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-82836.399, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-79473.466, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-59655.989, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-88109.505, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-84036.772, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-82834.828, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-79472.790, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-59656.360, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-88109.851, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-84032.993, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-82835.529, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-79473.134, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-59653.940, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   2.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   2.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   2.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   2.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   1.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   1.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   1.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   1.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   2.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   1.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   1.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   2.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   2.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   2.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   2.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   1.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.756, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.772, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.756, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.810, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.728, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.651, total=   6.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.716, total=   3.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.705, total=   1.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.751, total=   6.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.648, total=   2.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.652, total=   2.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.716, total=   2.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.704, total=   1.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.751, total=   2.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.648, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.649, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.716, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.704, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.750, total=   1.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.648, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.651, total=   9.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.716, total=   6.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.705, total=   2.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.751, total=   6.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.649, total=   4.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.652, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.721, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.709, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.749, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.654, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.849, total=   0.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.897, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.882, total=   0.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.910, total=   0.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.870, total=   0.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.849, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.897, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.882, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.910, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.870, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.849, total=   0.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.897, total=   0.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.882, total=   0.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.910, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.869, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.849, total=   1.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.897, total=   0.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.882, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.910, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.870, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.847, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.899, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.883, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.910, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.870, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-90455.740, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-78207.820, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-76871.868, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-71638.488, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-73110.755, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-90455.746, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-78207.619, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-76871.886, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-71638.440, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-73110.866, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-90455.717, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-78205.826, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-76871.979, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-71637.791, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-73112.004, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-90455.739, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-78207.840, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-76871.870, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-71638.495, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-73110.743, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-90455.596, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-78187.272, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-76872.816, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-71633.768, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-73125.678, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.755, total=   3.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   1.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   1.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   1.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   1.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   2.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.755, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   1.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   1.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   2.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.755, total=   3.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   2.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   2.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   2.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   5.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.755, total=   1.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.773, total=   1.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.757, total=   1.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.808, total=   1.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.728, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.653, total=  11.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.718, total=   6.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.708, total=   8.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.762, total=   4.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.658, total=   3.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.653, total=   2.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.717, total=   4.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.708, total=   2.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.762, total=   2.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.658, total=   1.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.652, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.717, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.707, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.762, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.661, total=   0.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.653, total=   9.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.718, total=  10.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.708, total=   9.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.762, total=   7.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.658, total=   4.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.642, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.718, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.712, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.762, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.675, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.851, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.903, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.883, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.912, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.872, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.851, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.903, total=   0.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.883, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.912, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.872, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.852, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.903, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.883, total=   0.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.912, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.872, total=   0.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.851, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.903, total=   0.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.883, total=   0.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.912, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.872, total=   0.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.855, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.903, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.884, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.911, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.871, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-88354.560, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-80592.205, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-81826.629, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-78882.007, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-59823.459, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-88354.629, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-80592.211, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-81826.666, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-78881.990, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-59823.439, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-88355.295, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-80592.298, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-81826.971, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-78882.207, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-59823.327, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-88354.555, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-80592.205, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-81826.623, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-78882.009, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-59823.460, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-88361.680, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-80595.317, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-81833.310, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-78882.261, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-59821.525, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.755, total=   2.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   1.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   1.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   1.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   1.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   1.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   1.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   1.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.755, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.755, total=   2.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   2.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   2.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   2.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   4.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.755, total=   1.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.773, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.757, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.808, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.728, total=   1.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.653, total=   3.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.718, total=   7.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.708, total=   7.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.762, total=   5.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.658, total=   2.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.653, total=   1.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.717, total=   2.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.707, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.762, total=   2.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.658, total=   1.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.651, total=   0.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.716, total=   0.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.706, total=   0.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.763, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.662, total=   0.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.653, total=   7.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.718, total=  10.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.708, total=   9.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.762, total=   5.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.658, total=   4.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.644, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.716, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.710, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.765, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.676, total=   0.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.851, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.903, total=   0.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.883, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.912, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.872, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.851, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.903, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.883, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.912, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.872, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.852, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.903, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.884, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.912, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.872, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.851, total=   0.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.903, total=   0.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.883, total=   0.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.912, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.872, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.852, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.903, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.884, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.911, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.872, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-90455.545, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-58825.988, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-76867.779, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-71636.542, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-72488.513, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-90455.541, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-58825.999, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-76867.772, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-71636.483, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-72488.447, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-90455.584, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-58826.293, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-76867.769, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-71636.001, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-72488.199, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-90455.544, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-58825.984, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-76867.779, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-71636.548, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-72488.517, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-90457.607, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-58828.019, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-76868.473, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-71631.412, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-72482.928, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   1.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   1.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   1.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.731, total=   2.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   2.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   1.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   1.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   1.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.731, total=   1.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   1.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.731, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   1.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   4.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   1.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.731, total=   1.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.773, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.757, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.810, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.734, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.643, total=   3.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.713, total=   2.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.713, total=   5.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.761, total=   5.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.668, total=   2.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.643, total=   2.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.713, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.714, total=   1.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.760, total=   1.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.668, total=   1.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.647, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.713, total=   0.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.712, total=   0.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.760, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.667, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.643, total=  13.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.713, total=   4.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.713, total=   7.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.761, total=   8.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.668, total=   3.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.642, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.712, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.711, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.762, total=   0.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.672, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.855, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.909, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.883, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.911, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.873, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.855, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.909, total=   0.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.883, total=   0.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.911, total=   0.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.873, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.855, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.909, total=   0.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.884, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.911, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.872, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.855, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.909, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.883, total=   0.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.911, total=   0.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.873, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.857, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.909, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.882, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.911, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.871, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-88352.575, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-56316.694, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-81824.023, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-78251.436, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-59432.351, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-88352.649, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-56316.697, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-81824.083, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-78251.549, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-59432.355, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-88353.442, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-56316.711, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-81824.395, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-78252.254, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-59432.551, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-88352.569, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-56316.693, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-81824.018, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-78251.428, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-59432.349, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-88358.358, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-56316.626, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-81827.992, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-78256.372, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-59433.516, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   2.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   2.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   1.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   2.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.731, total=   2.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   1.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   1.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.731, total=   1.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.731, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   1.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   1.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   4.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   2.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.731, total=   1.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.773, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.757, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.810, total=   1.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.734, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.643, total=   2.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.713, total=   1.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.714, total=   3.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.761, total=   3.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.668, total=   2.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.643, total=   1.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.713, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.714, total=   1.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.760, total=   2.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.667, total=   1.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.646, total=   1.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.714, total=   0.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.713, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.760, total=   0.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.669, total=   0.8s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.643, total=   7.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.713, total=   3.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.714, total=   5.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.761, total=   7.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.668, total=   4.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.639, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.711, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.713, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.762, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.674, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.855, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.909, total=   0.5s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.884, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.911, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.873, total=   0.4s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.855, total=   0.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.909, total=   0.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.884, total=   0.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.911, total=   0.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.873, total=   0.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.855, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.909, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.884, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.911, total=   0.2s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.872, total=   0.3s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.855, total=   0.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.909, total=   0.9s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.884, total=   0.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.911, total=   0.7s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.873, total=   0.6s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.855, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.909, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.883, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.912, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.872, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-89984.039, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-60893.921, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-76863.608, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-71634.556, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-72492.705, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-89984.056, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-60893.905, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-76863.605, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-71634.498, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-72492.671, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-89984.416, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-60893.887, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-76863.783, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-71634.021, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-72492.448, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-89984.035, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-60893.922, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-76863.607, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-71634.562, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-72492.708, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-89986.534, total=   0.1s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-60895.011, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-76862.126, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-71629.474, total=   0.0s
[CV] C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=800, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-72488.816, total=   0.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   3.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   1.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   2.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   2.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   2.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   2.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   1.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   1.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   1.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   1.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   3.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   1.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   4.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   2.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   1.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.772, total=   1.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.809, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.727, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=-0.103, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.280, total=   0.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.146, total=   0.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.257, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.146, total=   1.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=-0.103, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.280, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.145, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.257, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.146, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=-0.103, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.279, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.143, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.258, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.147, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=-0.103, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.280, total=   0.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.146, total=   0.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.257, total=   1.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.146, total=   4.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=-0.096, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.278, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.130, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.252, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.144, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.845, total=   0.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.890, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.876, total=   0.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.913, total=   0.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.870, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.845, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.890, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.876, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.913, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.870, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.845, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.890, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.876, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.912, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.870, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.845, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.890, total=   0.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.876, total=   1.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.913, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.870, total=   0.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.846, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.891, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.877, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.913, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.871, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-137902.987, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-93779.134, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-122810.646, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-122283.490, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-91431.998, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-137902.965, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-93779.148, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-122810.641, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-122283.374, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-91431.983, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-137902.837, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-93779.290, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-122810.686, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-122282.916, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-91432.045, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-137902.988, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-93779.133, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-122810.646, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-122283.506, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-91431.998, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-137901.111, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-93781.720, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-122812.809, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-122271.213, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-91433.359, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   2.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   1.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   2.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   2.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   1.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   1.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   1.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   1.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   2.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   1.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   4.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   2.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   1.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.772, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.809, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.727, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=-0.103, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.280, total=   0.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.146, total=   0.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.257, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.146, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=-0.103, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.280, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.145, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.257, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.146, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=-0.103, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.278, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.143, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.257, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.147, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=-0.103, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.280, total=   0.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.146, total=   0.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.257, total=   0.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.146, total=   2.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=-0.106, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.280, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.129, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.255, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.142, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.845, total=   0.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.890, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.876, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.913, total=   0.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.870, total=   0.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.845, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.890, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.876, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.913, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.870, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.845, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.890, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.876, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.913, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.870, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.845, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.890, total=   0.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.876, total=   0.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.913, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.870, total=   1.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.844, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.892, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.878, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.912, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.870, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-123185.244, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-91016.682, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-125817.916, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-99996.739, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-92861.598, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-123185.273, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-91016.713, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-125817.950, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-99996.890, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-92861.618, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-123185.468, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-91017.009, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-125818.354, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-99998.729, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-92861.964, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-123185.243, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-91016.679, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-125817.909, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-99996.727, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-92861.593, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-123186.870, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-91018.776, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-125822.098, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-100013.273, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-92864.722, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   2.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   2.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   2.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   1.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   1.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   1.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   1.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   1.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   1.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   1.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   2.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   2.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   1.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   2.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.756, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.772, total=   1.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.755, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.808, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.727, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=-0.111, total=   0.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.274, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.142, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.260, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.144, total=   0.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=-0.112, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.274, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.142, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.261, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.144, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=-0.111, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.272, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.144, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.261, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.143, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=-0.111, total=   0.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.274, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.142, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.260, total=   0.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.144, total=   0.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=-0.105, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.270, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.129, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.256, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.144, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.846, total=   0.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.888, total=   0.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.876, total=   0.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.912, total=   0.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.870, total=   1.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.845, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.888, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.876, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.912, total=   0.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.870, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.845, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.888, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.875, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.912, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.870, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.846, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.888, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.876, total=   1.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.912, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.870, total=   1.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.842, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.890, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.877, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.913, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.869, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-123015.467, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-93779.459, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-122811.825, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-122281.873, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-91431.609, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-123015.468, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-93779.445, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-122811.835, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-122281.776, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-91431.608, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-123015.527, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-93779.284, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-122811.848, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-122281.506, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-91431.692, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-123015.467, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-93779.461, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-122811.824, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-122281.892, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-91431.610, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-123015.459, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-93777.076, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-122814.783, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-122269.665, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-91435.039, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   2.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   2.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   3.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   1.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   1.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   1.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   1.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   1.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   1.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   1.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   2.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   2.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   1.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   1.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   2.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.756, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.772, total=   1.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.755, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.808, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.727, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=-0.111, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.274, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.142, total=   1.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.260, total=   0.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.144, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=-0.111, total=   0.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.274, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.142, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.260, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.144, total=   0.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=-0.113, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.274, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.144, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.260, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.143, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=-0.111, total=   1.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.274, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.142, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.260, total=   0.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.144, total=   1.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=-0.109, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.275, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.131, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.258, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.146, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.845, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.889, total=   1.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.876, total=   0.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.912, total=   1.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.870, total=   1.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.845, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.889, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.876, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.912, total=   0.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.870, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.845, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.889, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.876, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.912, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.870, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.845, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.889, total=   0.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.876, total=   1.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.912, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.870, total=   1.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.842, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.889, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.875, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.913, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.869, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-123185.575, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-91016.997, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-125818.023, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-99994.085, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-92861.345, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-123185.593, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-91017.020, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-125818.059, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-99994.237, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-92861.373, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-123185.739, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-91017.291, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-125818.450, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-99996.103, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-92861.627, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-123185.572, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-91016.995, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-125818.018, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-99994.073, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-92861.343, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-123187.710, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-91019.494, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-125822.018, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-100011.031, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-92863.673, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.755, total=   1.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   1.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   2.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   1.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   2.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   1.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   1.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   2.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   1.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.755, total=   2.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   1.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   2.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   2.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   3.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.755, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.772, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.757, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.809, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.729, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=-0.095, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.278, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.142, total=   1.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.254, total=   0.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.144, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=-0.094, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.278, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.142, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.254, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.144, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=-0.093, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.278, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.141, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.255, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.142, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=-0.095, total=   3.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.278, total=   2.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.142, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.254, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.144, total=   1.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=-0.090, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.280, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.136, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.254, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.149, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.850, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.893, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.878, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.913, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.873, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.850, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.893, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.878, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.913, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.873, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.850, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.893, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.878, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.913, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.873, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.850, total=   0.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.893, total=   1.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.878, total=   1.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.913, total=   0.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.873, total=   0.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.851, total=   0.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.894, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.878, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.912, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.872, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-137902.898, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-89673.983, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-122806.468, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-124869.265, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-91433.726, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-137902.881, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-89673.999, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-122806.445, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-124869.264, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-91433.741, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-137902.416, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-89673.968, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-122806.057, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-124869.204, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-91433.855, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-137902.902, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-89673.981, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-122806.469, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-124869.265, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-91433.726, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-137899.454, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-89675.206, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-122806.127, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-124867.926, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-91434.218, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.755, total=   1.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   1.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   2.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   2.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   2.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   1.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   1.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   2.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   2.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   1.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   1.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.755, total=   2.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   1.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   3.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   4.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   3.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.755, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.772, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.757, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.809, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.729, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=-0.095, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.278, total=   1.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.142, total=   1.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.254, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.144, total=   0.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=-0.094, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.278, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.142, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.254, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.144, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=-0.092, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.278, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.140, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.256, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.143, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=-0.095, total=   0.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.278, total=   2.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.142, total=   1.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.254, total=   1.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.144, total=   2.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=-0.095, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.282, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.138, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.260, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.146, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.850, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.894, total=   0.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.878, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.913, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.873, total=   0.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.850, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.894, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.878, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.913, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.873, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.850, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.894, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.878, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.913, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.873, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.850, total=   0.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.894, total=   1.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.878, total=   1.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.913, total=   0.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.873, total=   1.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.851, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.894, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.879, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.913, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.871, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-123185.526, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-90076.827, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-125817.428, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-100332.639, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-98898.273, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-123185.527, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-90076.817, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-125817.532, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-100332.647, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-98898.225, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-123185.672, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-90076.800, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-125818.300, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-100332.624, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-98897.744, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-123185.526, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-90076.828, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-125817.424, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-100332.637, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-98898.277, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-123187.614, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-90078.875, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-125819.669, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-100336.434, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-98892.008, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   1.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   2.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   2.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.731, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   2.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   1.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   2.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   1.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.731, total=   1.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   1.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.731, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   2.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   2.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   2.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   3.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.731, total=   1.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.757, total=   1.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.758, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.810, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.733, total=   1.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=-0.089, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.284, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.136, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.253, total=   0.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.152, total=   0.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=-0.090, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.284, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.136, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.253, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.152, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=-0.088, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.284, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.134, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.253, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.152, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=-0.089, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.284, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.136, total=   1.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.253, total=   2.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.152, total=   1.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=-0.086, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.288, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.136, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.255, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.151, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.854, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.900, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.876, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.912, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.873, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.854, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.900, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.876, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.912, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.873, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.853, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.901, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.876, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.912, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.873, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.854, total=   0.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.900, total=   0.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.876, total=   0.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.912, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.873, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.852, total=   0.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.899, total=   0.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.877, total=   0.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.913, total=   0.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.874, total=   0.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-141500.113, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-96405.474, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-122801.309, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-124870.964, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-91435.891, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-141500.115, total=   0.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-96405.459, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-122801.281, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-124870.959, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-91435.870, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-141500.294, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-96405.481, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-122801.086, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-124870.985, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-91435.389, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-141500.109, total=   0.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-96405.475, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-122801.313, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-124870.964, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-91435.892, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-141499.914, total=   0.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-96405.221, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-122799.002, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-124869.767, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-91432.920, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   2.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   1.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   2.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   2.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.731, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   2.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   1.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   1.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   1.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.731, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   1.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.731, total=   1.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   2.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   2.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   2.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   3.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.731, total=   1.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.757, total=   1.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   1.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.758, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.810, total=   1.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.733, total=   1.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=-0.089, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.284, total=   0.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.136, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.253, total=   0.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.152, total=   0.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=-0.090, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.284, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.136, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.252, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.152, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=-0.090, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.283, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.135, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.254, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.151, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=-0.089, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.284, total=   0.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.136, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.253, total=   0.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.152, total=   0.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=-0.088, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.288, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.134, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.253, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.152, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.854, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.901, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.876, total=   0.5s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.913, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.873, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.854, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.901, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.876, total=   0.4s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.913, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.873, total=   0.3s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.853, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.901, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.876, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.913, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.873, total=   0.2s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.854, total=   0.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.901, total=   0.9s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.876, total=   0.8s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.913, total=   0.6s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.873, total=   0.7s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.852, total=   0.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.901, total=   0.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.877, total=   0.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.913, total=   0.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.874, total=   0.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-123184.276, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-95195.352, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-124848.247, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-100331.102, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-92509.090, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-123184.288, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-95195.363, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-124848.344, total=   0.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-100331.104, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-92509.103, total=   0.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-123184.387, total=   0.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-95195.441, total=   0.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-124849.129, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-100331.285, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-92509.141, total=   0.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-123184.274, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-95195.351, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-124848.238, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-100331.097, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-92509.088, total=   0.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-123185.604, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-95196.508, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-124856.246, total=   0.0s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-100332.984, total=   0.1s
[CV] C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=2, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-92509.512, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   3.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   1.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   2.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   1.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   1.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   2.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.01, score=0.728, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.773, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   1.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   1.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   2.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   1.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   4.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   2.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   2.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.772, total=   1.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.756, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.809, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=linear, tol=1, score=0.727, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.647, total=   5.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.715, total=   4.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.704, total=   2.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.751, total=   4.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.001, score=0.647, total=   4.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.647, total=   2.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.714, total=   2.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.704, total=   1.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.750, total=   2.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.01, score=0.646, total=   2.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.647, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.714, total=   1.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.705, total=   1.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.751, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.1, score=0.648, total=   1.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.647, total=   6.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.715, total=  14.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.704, total=   4.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.751, total=   9.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=0.0001, score=0.647, total=   7.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.646, total=   0.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.718, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.705, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.755, total=   0.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=poly, tol=1, score=0.651, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.845, total=   1.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.890, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.876, total=   0.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.913, total=   0.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.001, score=0.870, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.845, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.890, total=   0.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.876, total=   0.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.913, total=   0.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.01, score=0.870, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.845, total=   0.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.890, total=   0.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.876, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.912, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.1, score=0.870, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.845, total=   1.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.890, total=   0.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.876, total=   1.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.913, total=   1.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=0.0001, score=0.870, total=   1.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.846, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.891, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.877, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.913, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=rbf, tol=1, score=0.871, total=   0.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-137902.987, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-93779.134, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-122810.646, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-122283.490, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.001, score=-91431.998, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-137902.965, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-93779.148, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-122810.641, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-122283.374, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.01, score=-91431.983, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-137902.837, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-93779.290, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-122810.686, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-122282.916, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.1, score=-91432.045, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-137902.988, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-93779.133, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-122810.646, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-122283.506, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-91431.998, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-137901.111, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-93781.720, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-122812.809, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-122271.213, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=scale, kernel=sigmoid, tol=1, score=-91433.359, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   4.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   2.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   2.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   2.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   2.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   1.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   2.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.01, score=0.728, total=   1.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.773, total=   1.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   1.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   3.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   1.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   4.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   2.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   2.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   1.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.772, total=   1.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.756, total=   1.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.809, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=linear, tol=1, score=0.727, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.647, total=   4.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.715, total=   5.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.704, total=   3.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.751, total=   8.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.001, score=0.647, total=   2.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.647, total=   2.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.715, total=   2.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.704, total=   1.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.751, total=   3.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.01, score=0.646, total=   2.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.646, total=   1.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.714, total=   1.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.703, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.751, total=   2.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.1, score=0.645, total=   1.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.647, total=   6.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.715, total=   6.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.704, total=   7.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.751, total=  14.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=0.0001, score=0.647, total=   5.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.644, total=   1.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.716, total=   0.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.705, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.755, total=   0.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=poly, tol=1, score=0.653, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.845, total=   0.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.890, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.876, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.913, total=   0.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.001, score=0.870, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.845, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.890, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.876, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.913, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.01, score=0.870, total=   0.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.845, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.890, total=   0.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.876, total=   0.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.913, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.1, score=0.870, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.845, total=   1.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.890, total=   0.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.876, total=   0.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.913, total=   1.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=0.0001, score=0.870, total=   1.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.844, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.892, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.878, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.912, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=rbf, tol=1, score=0.870, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-123185.244, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-91016.682, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-125817.916, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-99996.739, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.001, score=-92861.598, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-123185.273, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-91016.713, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-125817.950, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-99996.890, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.01, score=-92861.618, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-123185.468, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-91017.009, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-125818.354, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-99998.729, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.1, score=-92861.964, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-123185.243, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-91016.679, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-125817.909, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-99996.727, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-92861.593, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-123186.870, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-91018.776, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-125822.098, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-100013.273, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.1, gamma=auto, kernel=sigmoid, tol=1, score=-92864.722, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   2.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   2.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   2.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   1.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   1.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.757, total=   1.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   1.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.1, score=0.728, total=   1.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   1.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   2.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   1.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   2.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.756, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.772, total=   1.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.755, total=   1.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.808, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=linear, tol=1, score=0.727, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.649, total=   9.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.715, total=   3.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.705, total=   2.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.751, total=   5.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.001, score=0.650, total=   7.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.648, total=   2.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.715, total=   2.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.705, total=   1.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.751, total=   2.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.01, score=0.649, total=   2.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.650, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.716, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.701, total=   1.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.751, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.1, score=0.648, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.649, total=  27.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.715, total=   4.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.705, total=   3.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.751, total=   5.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=0.0001, score=0.650, total=  10.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.652, total=   0.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.718, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.703, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.750, total=   0.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=poly, tol=1, score=0.650, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.846, total=   1.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.888, total=   0.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.876, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.912, total=   1.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.001, score=0.870, total=   1.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.845, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.888, total=   0.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.876, total=   0.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.912, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.01, score=0.870, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.845, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.888, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.875, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.912, total=   0.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.1, score=0.870, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.846, total=   1.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.888, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.876, total=   1.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.912, total=   1.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=0.0001, score=0.870, total=   1.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.842, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.890, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.877, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.913, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=rbf, tol=1, score=0.869, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-123015.467, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-93779.459, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-122811.825, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-122281.873, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.001, score=-91431.609, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-123015.468, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-93779.445, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-122811.835, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-122281.776, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.01, score=-91431.608, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-123015.527, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-93779.284, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-122811.848, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-122281.506, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.1, score=-91431.692, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-123015.467, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-93779.461, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-122811.824, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-122281.892, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=0.0001, score=-91431.610, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-123015.459, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-93777.076, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-122814.783, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-122269.665, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=scale, kernel=sigmoid, tol=1, score=-91435.039, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   1.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   2.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   1.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   2.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   1.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   1.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   1.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   1.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   1.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   2.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.757, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   1.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   1.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.1, score=0.728, total=   1.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   2.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   2.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   2.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   2.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.756, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.772, total=   1.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.755, total=   1.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.808, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=linear, tol=1, score=0.727, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.649, total=  10.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.715, total=   5.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.705, total=   3.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.751, total=   4.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.001, score=0.650, total=   4.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.649, total=   4.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.715, total=   1.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.705, total=   2.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.751, total=   3.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.01, score=0.649, total=   2.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.651, total=   1.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.717, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.705, total=   1.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.751, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.1, score=0.646, total=   1.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.649, total=  14.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.715, total=  13.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.705, total=   3.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.751, total=   6.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=0.0001, score=0.650, total=   9.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.650, total=   0.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.717, total=   0.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.705, total=   0.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.749, total=   0.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=poly, tol=1, score=0.649, total=   0.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.845, total=   0.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.889, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.876, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.912, total=   1.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.001, score=0.870, total=   1.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.845, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.889, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.876, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.912, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.01, score=0.870, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.845, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.889, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.876, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.912, total=   0.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.1, score=0.870, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.845, total=   1.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.889, total=   1.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.876, total=   1.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.912, total=   1.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=0.0001, score=0.870, total=   1.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.842, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.889, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.875, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.913, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=rbf, tol=1, score=0.869, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-123185.575, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-91016.997, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-125818.023, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-99994.085, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.001, score=-92861.345, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-123185.593, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-91017.020, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-125818.059, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-99994.237, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.01, score=-92861.373, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-123185.739, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-91017.291, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-125818.450, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-99996.103, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.1, score=-92861.627, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-123185.572, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-91016.995, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-125818.018, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-99994.073, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=0.0001, score=-92861.343, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-123187.710, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-91019.494, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-125822.018, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-100011.031, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.01, gamma=auto, kernel=sigmoid, tol=1, score=-92863.673, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.755, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.773, total=   1.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.757, total=   2.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.809, total=   1.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.001, score=0.727, total=   2.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   1.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.773, total=   1.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.757, total=   2.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.809, total=   2.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.01, score=0.727, total=   2.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.772, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   1.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.809, total=   1.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.1, score=0.727, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.755, total=   2.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.773, total=   1.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.757, total=   2.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.809, total=   2.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=0.0001, score=0.727, total=   3.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.755, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.772, total=   1.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.757, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.809, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=linear, tol=1, score=0.729, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.651, total=   5.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.718, total=  10.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.711, total=   4.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.761, total=   3.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.001, score=0.654, total=   3.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.650, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.718, total=   2.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.710, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.761, total=   1.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.01, score=0.654, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.649, total=   1.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.717, total=   1.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.710, total=   0.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.761, total=   1.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.1, score=0.659, total=   1.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.650, total=   7.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.718, total=  15.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.711, total=   6.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.761, total=   7.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=0.0001, score=0.654, total=   5.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.645, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.712, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.711, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.761, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=poly, tol=1, score=0.677, total=   1.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.850, total=   1.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.893, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.878, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.913, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.001, score=0.873, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.850, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.893, total=   0.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.878, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.913, total=   0.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.01, score=0.873, total=   0.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.850, total=   0.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.893, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.878, total=   0.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.913, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.1, score=0.873, total=   0.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.850, total=   1.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.893, total=   1.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.878, total=   1.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.913, total=   1.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=0.0001, score=0.873, total=   1.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.851, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.894, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.878, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.912, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=rbf, tol=1, score=0.872, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-137902.898, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-89673.983, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-122806.468, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-124869.265, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.001, score=-91433.726, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-137902.881, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-89673.999, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-122806.445, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-124869.264, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.01, score=-91433.741, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-137902.416, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-89673.968, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-122806.057, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-124869.204, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.1, score=-91433.855, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-137902.902, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-89673.981, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-122806.469, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-124869.265, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=0.0001, score=-91433.726, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-137899.454, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-89675.206, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-122806.127, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-124867.926, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=scale, kernel=sigmoid, tol=1, score=-91434.218, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.755, total=   1.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.773, total=   1.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.757, total=   2.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.809, total=   3.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.001, score=0.727, total=   3.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   2.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.773, total=   2.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.757, total=   2.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.809, total=   3.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.01, score=0.727, total=   3.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   2.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.772, total=   1.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.809, total=   1.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.1, score=0.727, total=   2.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.755, total=   3.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.773, total=   2.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.757, total=   4.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.809, total=   3.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=0.0001, score=0.727, total=   5.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.755, total=   2.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.772, total=   1.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.757, total=   2.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.809, total=   2.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=linear, tol=1, score=0.729, total=   2.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.650, total=   7.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.718, total=   7.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.711, total=   6.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.761, total=   5.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.001, score=0.654, total=   3.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.650, total=   2.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.718, total=   2.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.710, total=   2.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.761, total=   2.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.01, score=0.654, total=   1.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.648, total=   1.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.717, total=   1.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.710, total=   0.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.761, total=   1.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.1, score=0.656, total=   0.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.650, total=   7.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.718, total=   9.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.711, total=   7.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.761, total=   9.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=0.0001, score=0.654, total=   3.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.643, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.718, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.712, total=   0.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.760, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=poly, tol=1, score=0.672, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.850, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.894, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.878, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.913, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.001, score=0.873, total=   0.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.850, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.894, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.878, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.913, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.01, score=0.873, total=   0.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.850, total=   0.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.894, total=   0.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.878, total=   0.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.913, total=   0.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.1, score=0.873, total=   0.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.850, total=   0.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.894, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.878, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.913, total=   1.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=0.0001, score=0.873, total=   1.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.851, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.894, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.879, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.913, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=rbf, tol=1, score=0.871, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-123185.526, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-90076.827, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-125817.428, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-100332.639, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.001, score=-98898.273, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-123185.527, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-90076.817, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-125817.532, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-100332.647, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.01, score=-98898.225, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-123185.672, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-90076.800, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-125818.300, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-100332.624, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.1, score=-98897.744, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-123185.526, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-90076.828, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-125817.424, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-100332.637, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=0.0001, score=-98898.277, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-123187.614, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-90078.875, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-125819.669, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-100336.434, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=0.5, gamma=auto, kernel=sigmoid, tol=1, score=-98892.008, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.756, total=   1.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.774, total=   1.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.758, total=   2.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.810, total=   2.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.001, score=0.731, total=   1.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.756, total=   2.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.774, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.758, total=   1.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.810, total=   2.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.01, score=0.731, total=   2.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.756, total=   2.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.774, total=   2.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.758, total=   1.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.810, total=   1.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.1, score=0.731, total=   1.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.756, total=   2.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.774, total=   2.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.758, total=   2.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.810, total=   3.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=0.0001, score=0.731, total=   1.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.757, total=   1.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.774, total=   1.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.758, total=   1.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.810, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=linear, tol=1, score=0.733, total=   1.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.638, total=   5.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.714, total=   2.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.713, total=   4.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.760, total=   5.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.001, score=0.668, total=   2.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.639, total=   2.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.713, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.713, total=   2.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.760, total=   2.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.01, score=0.669, total=   1.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.638, total=   1.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.712, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.713, total=   1.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.760, total=   0.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.1, score=0.666, total=   0.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.638, total=   6.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.714, total=   6.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.713, total=   6.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.760, total=  15.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=0.0001, score=0.668, total=   8.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.637, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.709, total=   0.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.714, total=   0.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.758, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=poly, tol=1, score=0.672, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.854, total=   0.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.900, total=   0.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.876, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.912, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.001, score=0.873, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.854, total=   0.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.900, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.876, total=   0.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.912, total=   0.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.01, score=0.873, total=   0.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.853, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.901, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.876, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.912, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.1, score=0.873, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.854, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.900, total=   1.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.876, total=   0.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.912, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=0.0001, score=0.873, total=   0.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.852, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.899, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.877, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.913, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=rbf, tol=1, score=0.874, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-141500.113, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-96405.474, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-122801.309, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-124870.964, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.001, score=-91435.891, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-141500.115, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-96405.459, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-122801.281, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-124870.959, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.01, score=-91435.870, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-141500.294, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-96405.481, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-122801.086, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-124870.985, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.1, score=-91435.389, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-141500.109, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-96405.475, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-122801.313, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-124870.964, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=0.0001, score=-91435.892, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-141499.914, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-96405.221, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-122799.002, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-124869.767, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=scale, kernel=sigmoid, tol=1, score=-91432.920, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.756, total=   2.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.774, total=   2.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.758, total=   3.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.810, total=   2.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.001, score=0.731, total=   2.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.756, total=   2.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.774, total=   2.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.758, total=   2.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.810, total=   2.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.01, score=0.731, total=   1.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.756, total=   1.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.774, total=   1.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.758, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.810, total=   1.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.1, score=0.731, total=   1.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.756, total=   2.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.774, total=   2.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.758, total=   2.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.810, total=   3.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=0.0001, score=0.731, total=   1.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.757, total=   1.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.774, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.758, total=   1.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.810, total=   1.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=linear, tol=1, score=0.733, total=   1.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.638, total=   4.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.713, total=   2.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.713, total=   5.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.760, total=   6.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.001, score=0.668, total=   5.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.638, total=   2.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.714, total=   1.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.714, total=   2.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.761, total=   2.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.01, score=0.668, total=   1.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.638, total=   1.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.713, total=   0.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.713, total=   1.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.761, total=   1.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.1, score=0.669, total=   0.9s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.638, total=   6.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.713, total=   5.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.713, total=   4.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.760, total=   6.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=0.0001, score=0.668, total=  12.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.632, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.711, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.712, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.759, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=poly, tol=1, score=0.673, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.854, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.901, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.876, total=   0.6s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.913, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.001, score=0.873, total=   0.5s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.854, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.901, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.876, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.913, total=   0.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.01, score=0.873, total=   0.4s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.853, total=   0.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.901, total=   0.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.876, total=   0.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.913, total=   0.3s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.1, score=0.873, total=   0.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.854, total=   0.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.901, total=   1.2s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.876, total=   1.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.913, total=   0.7s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=0.0001, score=0.873, total=   0.8s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.852, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.901, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.877, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.913, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=rbf, tol=1, score=0.874, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-123184.276, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-95195.352, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-124848.247, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-100331.102, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.001, score=-92509.090, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-123184.288, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-95195.363, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-124848.344, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-100331.104, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.01, score=-92509.103, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-123184.387, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-95195.441, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-124849.129, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-100331.285, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.1, score=-92509.141, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-123184.274, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-95195.351, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-124848.238, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-100331.097, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=0.0001, score=-92509.088, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-123185.604, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-95196.508, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-124856.246, total=   0.1s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-100332.984, total=   0.0s
[CV] C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1 
[CV]  C=1000, coef0=0.0, degree=3, epsilon=1, gamma=auto, kernel=sigmoid, tol=1, score=-92509.512, total=   0.1s
[Parallel(n_jobs=1)]: Done 24000 out of 24000 | elapsed: 138.6min finished
Out[470]:
GridSearchCV(cv=None, error_score=nan,
             estimator=SVR(C=1.0, cache_size=200, coef0=0.0, degree=3,
                           epsilon=0.1, gamma='scale', kernel='rbf',
                           max_iter=-1, shrinking=True, tol=0.001,
                           verbose=False),
             iid='deprecated', n_jobs=None,
             param_grid={'C': [0.1, 0.5, 1, 5, 10, 25, 50, 75, 100, 200, 350,
                               500, 750, 800, 1000],
                         'coef0': [0.0], 'degree': [2, 3],
                         'epsilon': [0.1, 0.01, 0.5, 1],
                         'gamma': ['scale', 'auto'],
                         'kernel': ['linear', 'poly', 'rbf', 'sigmoid'],
                         'tol': [0.001, 0.01, 0.1, 0.0001, 1]},
             pre_dispatch='2*n_jobs', refit=True, return_train_score=False,
             scoring=None, verbose=3)
In [471]:
print(grid.best_params_)
print(grid.best_score_)
print(grid.best_estimator_)
{'C': 350, 'coef0': 0.0, 'degree': 2, 'epsilon': 1, 'gamma': 'auto', 'kernel': 'rbf', 'tol': 1}
0.8935750951075683
SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False)
In [528]:
svr = SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False)
In [529]:
svr.fit(X_train_scaled,y_train)
print("The score on train data: ",svr.score(X_train_scaled,y_train))
print("\nThe score on test data: ",svr.score(X_test_scaled,y_test))
The score on train data:  0.9621382098442767

The score on test data:  0.8822086282534799
In [530]:
y_pred = svr.predict(X_test_scaled)
print("The RMSE score is ", np.sqrt(mse(y_pred,y_test)))
print("The R-squared value is ",r2_score(y_pred,y_test))

# Clearly svr has a good score and good r-square value and RMSE
The RMSE score is  5.725794336377752
The R-squared value is  0.8746572275634272
In [531]:
scores = []
RMSE = []
r2= []
kf = KFold(n_splits=10, shuffle=False)
for train_index, test_index in kf.split(X,Y):
    X_train, X_test, y_train, y_test = X[train_index], X[test_index], Y[train_index], Y[test_index]
    ss_kf = StandardScaler()
    X_train_scaled = ss_kf.fit_transform(X_train)
    X_test_scaled = ss_kf.transform(X_test)
    model = SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False)
    model.fit(X_train_scaled, y_train)
    y_pred = model.predict(X_test_scaled)
    scores.append(model.score(X_test_scaled, y_test))
    RMSE.append(np.sqrt(mse(y_pred, y_test)))
    r2.append(r2_score(y_pred,y_test))
In [532]:
model= "Support Vector Regressor"
print("{:.2f}% to {:.2f}%".format((np.mean(scores)-2*np.std(scores))*100,(np.mean(scores)+2*np.std(scores))*100))
print("{:.2f} to {:.2f}".format((np.mean(RMSE)-2*np.std(RMSE)),(np.mean(RMSE)+2*np.std(RMSE))))
print("{:.2f} to {:.2f}".format((np.mean(r2)-2*np.std(r2)),(np.mean(r2)+2*np.std(r2))))
84.35% to 95.53%
3.59 to 6.65
0.83 to 0.95
In [492]:
e = pd.DataFrame({'Model perfomance at 95% confidence': model,'Score':'84.35% to 95.53%',
                  'RMSE':'3.59 to 6.65','R-squared':'0.83 to 0.95'} ,index=[5])
e
Out[492]:
Model perfomance at 95% confidence Score RMSE R-squared
5 Support Vector Regressor 84.35% to 95.53% 3.59 to 6.65 0.83 to 0.95

KNN Regressor

In [511]:
param_grid = {
    'n_neighbors':[1,2,3,4,5],
    'weights':['uniform','distance'],
    'algorithm':['auto'],
    'p':[1,2],
    'metric':['minkowski'],
}
In [512]:
grid = GridSearchCV(KNeighborsRegressor(), param_grid, refit = True, verbose = 3) 
grid.fit(X_train_scaled,y_train)
Fitting 5 folds for each of 20 candidates, totalling 100 fits
[CV] algorithm=auto, metric=minkowski, n_neighbors=1, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=1, p=1, weights=uniform, score=0.589, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=1, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=1, p=1, weights=uniform, score=0.720, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=1, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=1, p=1, weights=uniform, score=0.751, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=1, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=1, p=1, weights=uniform, score=0.707, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=1, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=1, p=1, weights=uniform, score=0.714, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=1, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=1, p=1, weights=distance, score=0.589, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=1, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=1, p=1, weights=distance, score=0.720, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=1, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=1, p=1, weights=distance, score=0.751, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=1, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=1, p=1, weights=distance, score=0.707, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=1, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=1, p=1, weights=distance, score=0.714, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=1, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=1, p=2, weights=uniform, score=0.639, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=1, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=1, p=2, weights=uniform, score=0.765, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=1, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=1, p=2, weights=uniform, score=0.804, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=1, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=1, p=2, weights=uniform, score=0.760, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=1, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=1, p=2, weights=uniform, score=0.759, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=1, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=1, p=2, weights=distance, score=0.639, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=1, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=1, p=2, weights=distance, score=0.765, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=1, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=1, p=2, weights=distance, score=0.804, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=1, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=1, p=2, weights=distance, score=0.760, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=1, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=1, p=2, weights=distance, score=0.759, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=2, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=2, p=1, weights=uniform, score=0.632, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=2, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=2, p=1, weights=uniform, score=0.726, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=2, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=2, p=1, weights=uniform, score=0.765, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=2, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=2, p=1, weights=uniform, score=0.772, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=2, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=2, p=1, weights=uniform, score=0.694, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=2, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=2, p=1, weights=distance, score=0.669, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=2, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=2, p=1, weights=distance, score=0.762, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=2, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=2, p=1, weights=distance, score=0.790, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=2, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=2, p=1, weights=distance, score=0.773, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=2, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=2, p=1, weights=distance, score=0.754, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=2, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=2, p=2, weights=uniform, score=0.710, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=2, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=2, p=2, weights=uniform, score=0.795, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=2, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=2, p=2, weights=uniform, score=0.819, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=2, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=2, p=2, weights=uniform, score=0.823, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=2, p=2, weights=uniform 
[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    0.0s remaining:    0.0s
[Parallel(n_jobs=1)]: Done   2 out of   2 | elapsed:    0.0s remaining:    0.0s
[CV]  algorithm=auto, metric=minkowski, n_neighbors=2, p=2, weights=uniform, score=0.743, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=2, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=2, p=2, weights=distance, score=0.721, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=2, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=2, p=2, weights=distance, score=0.816, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=2, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=2, p=2, weights=distance, score=0.838, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=2, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=2, p=2, weights=distance, score=0.825, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=2, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=2, p=2, weights=distance, score=0.780, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=3, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=3, p=1, weights=uniform, score=0.687, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=3, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=3, p=1, weights=uniform, score=0.788, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=3, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=3, p=1, weights=uniform, score=0.777, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=3, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=3, p=1, weights=uniform, score=0.789, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=3, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=3, p=1, weights=uniform, score=0.682, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=3, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=3, p=1, weights=distance, score=0.731, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=3, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=3, p=1, weights=distance, score=0.806, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=3, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=3, p=1, weights=distance, score=0.813, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=3, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=3, p=1, weights=distance, score=0.799, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=3, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=3, p=1, weights=distance, score=0.769, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=3, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=3, p=2, weights=uniform, score=0.759, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=3, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=3, p=2, weights=uniform, score=0.800, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=3, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=3, p=2, weights=uniform, score=0.813, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=3, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=3, p=2, weights=uniform, score=0.822, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=3, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=3, p=2, weights=uniform, score=0.743, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=3, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=3, p=2, weights=distance, score=0.766, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=3, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=3, p=2, weights=distance, score=0.827, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=3, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=3, p=2, weights=distance, score=0.841, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=3, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=3, p=2, weights=distance, score=0.831, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=3, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=3, p=2, weights=distance, score=0.796, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=4, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=4, p=1, weights=uniform, score=0.724, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=4, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=4, p=1, weights=uniform, score=0.806, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=4, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=4, p=1, weights=uniform, score=0.763, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=4, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=4, p=1, weights=uniform, score=0.799, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=4, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=4, p=1, weights=uniform, score=0.704, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=4, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=4, p=1, weights=distance, score=0.756, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=4, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=4, p=1, weights=distance, score=0.830, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=4, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=4, p=1, weights=distance, score=0.804, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=4, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=4, p=1, weights=distance, score=0.810, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=4, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=4, p=1, weights=distance, score=0.782, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=4, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=4, p=2, weights=uniform, score=0.755, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=4, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=4, p=2, weights=uniform, score=0.799, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=4, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=4, p=2, weights=uniform, score=0.819, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=4, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=4, p=2, weights=uniform, score=0.817, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=4, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=4, p=2, weights=uniform, score=0.729, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=4, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=4, p=2, weights=distance, score=0.770, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=4, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=4, p=2, weights=distance, score=0.837, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=4, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=4, p=2, weights=distance, score=0.844, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=4, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=4, p=2, weights=distance, score=0.836, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=4, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=4, p=2, weights=distance, score=0.793, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=5, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=5, p=1, weights=uniform, score=0.748, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=5, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=5, p=1, weights=uniform, score=0.809, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=5, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=5, p=1, weights=uniform, score=0.751, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=5, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=5, p=1, weights=uniform, score=0.793, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=5, p=1, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=5, p=1, weights=uniform, score=0.720, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=5, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=5, p=1, weights=distance, score=0.771, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=5, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=5, p=1, weights=distance, score=0.841, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=5, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=5, p=1, weights=distance, score=0.806, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=5, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=5, p=1, weights=distance, score=0.814, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=5, p=1, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=5, p=1, weights=distance, score=0.794, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=5, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=5, p=2, weights=uniform, score=0.778, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=5, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=5, p=2, weights=uniform, score=0.810, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=5, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=5, p=2, weights=uniform, score=0.809, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=5, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=5, p=2, weights=uniform, score=0.800, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=5, p=2, weights=uniform 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=5, p=2, weights=uniform, score=0.731, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=5, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=5, p=2, weights=distance, score=0.797, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=5, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=5, p=2, weights=distance, score=0.851, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=5, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=5, p=2, weights=distance, score=0.840, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=5, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=5, p=2, weights=distance, score=0.828, total=   0.0s
[CV] algorithm=auto, metric=minkowski, n_neighbors=5, p=2, weights=distance 
[CV]  algorithm=auto, metric=minkowski, n_neighbors=5, p=2, weights=distance, score=0.803, total=   0.0s
[Parallel(n_jobs=1)]: Done 100 out of 100 | elapsed:    0.7s finished
Out[512]:
GridSearchCV(cv=None, error_score=nan,
             estimator=KNeighborsRegressor(algorithm='auto', leaf_size=30,
                                           metric='minkowski',
                                           metric_params=None, n_jobs=None,
                                           n_neighbors=5, p=2,
                                           weights='uniform'),
             iid='deprecated', n_jobs=None,
             param_grid={'algorithm': ['auto'], 'metric': ['minkowski'],
                         'n_neighbors': [1, 2, 3, 4, 5], 'p': [1, 2],
                         'weights': ['uniform', 'distance']},
             pre_dispatch='2*n_jobs', refit=True, return_train_score=False,
             scoring=None, verbose=3)
In [513]:
print(grid.best_params_)
print(grid.best_score_)
print(grid.best_estimator_)
{'algorithm': 'auto', 'metric': 'minkowski', 'n_neighbors': 5, 'p': 2, 'weights': 'distance'}
0.823851373940421
KNeighborsRegressor(algorithm='auto', leaf_size=30, metric='minkowski',
                    metric_params=None, n_jobs=None, n_neighbors=5, p=2,
                    weights='distance')
In [514]:
knn = KNeighborsRegressor(algorithm='auto', leaf_size=30, metric='minkowski',
                    metric_params=None, n_jobs=None, n_neighbors=5, p=2,
                    weights='distance')
In [515]:
knn.fit(X_train_scaled,y_train)
print("The score on train data: ",knn.score(X_train_scaled,y_train))
print("\nThe score on test data: ",knn.score(X_test_scaled,y_test))
The score on train data:  0.995594292367634

The score on test data:  0.8214490370409486
In [517]:
y_pred = knn.predict(X_test_scaled)
print("The RMSE score is ", np.sqrt(mse(y_pred,y_test)))
print("The R-squared value is ",r2_score(y_pred,y_test))

# KNN regressor has good score on train set, and average scores on test set. But there are better models than KNN regressor
The RMSE score is  7.049529030091715
The R-squared value is  0.745040663099283
In [520]:
scores = []
RMSE = []
r2= []
kf = KFold(n_splits=10, shuffle=False)
for train_index, test_index in kf.split(X,Y):
    X_train, X_test, y_train, y_test = X[train_index], X[test_index], Y[train_index], Y[test_index]
    ss_kf = StandardScaler()
    X_train_scaled = ss_kf.fit_transform(X_train)
    X_test_scaled = ss_kf.transform(X_test)
    model = KNeighborsRegressor(algorithm='auto', leaf_size=30, metric='minkowski',
                    metric_params=None, n_jobs=None, n_neighbors=5, p=2,
                    weights='distance')
    model.fit(X_train_scaled, y_train)
    y_pred = model.predict(X_test_scaled)
    scores.append(model.score(X_test_scaled, y_test))
    RMSE.append(np.sqrt(mse(y_pred, y_test)))
    r2.append(r2_score(y_pred,y_test))
In [521]:
model= "KNN Regressor"
print("{:.2f}% to {:.2f}%".format((np.mean(scores)-2*np.std(scores))*100,(np.mean(scores)+2*np.std(scores))*100))
print("{:.2f} to {:.2f}".format((np.mean(RMSE)-2*np.std(RMSE)),(np.mean(RMSE)+2*np.std(RMSE))))
print("{:.2f} to {:.2f}".format((np.mean(r2)-2*np.std(r2)),(np.mean(r2)+2*np.std(r2))))
80.66% to 89.07%
4.91 to 7.76
0.73 to 0.88
In [523]:
f = pd.DataFrame({'Model perfomance at 95% confidence': model,'Score':'80.66% to 89.07%',
                  'RMSE':'4.91 to 7.76','R-squared':'0.73 to 0.88'} ,index=[6])
f
Out[523]:
Model perfomance at 95% confidence Score RMSE R-squared
6 KNN Regressor 80.66% to 89.07% 4.91 to 7.76 0.73 to 0.88

ADABOOST REGRESSOR

In [534]:
param_grid = {
        'base_estimator':[svr],
    'n_estimators':[50,100,150],
    'learning_rate':[1.0,0.5],
    'loss':['linear','square'],
    'random_state':[seed],
    }
In [535]:
grid = GridSearchCV(AdaBoostRegressor(), param_grid, refit = True, verbose = 3) 
grid.fit(X_train_scaled,y_train)
Fitting 5 folds for each of 12 candidates, totalling 60 fits
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=50, random_state=10 
[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=50, random_state=10, score=0.858, total=   2.7s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=50, random_state=10 
[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    2.6s remaining:    0.0s
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=50, random_state=10, score=0.892, total=   3.1s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=50, random_state=10 
[Parallel(n_jobs=1)]: Done   2 out of   2 | elapsed:    5.8s remaining:    0.0s
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=50, random_state=10, score=0.901, total=   4.2s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=50, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=50, random_state=10, score=0.917, total=   3.0s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=50, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=50, random_state=10, score=0.868, total=   2.2s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=100, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=100, random_state=10, score=0.839, total=   4.7s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=100, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=100, random_state=10, score=0.849, total=   4.3s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=100, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=100, random_state=10, score=0.893, total=   5.0s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=100, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=100, random_state=10, score=0.887, total=   4.7s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=100, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=100, random_state=10, score=0.841, total=   4.2s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=150, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=150, random_state=10, score=0.819, total=   6.1s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=150, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=150, random_state=10, score=0.826, total=   5.7s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=150, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=150, random_state=10, score=0.889, total=   7.9s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=150, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=150, random_state=10, score=0.852, total=   7.3s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=150, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=linear, n_estimators=150, random_state=10, score=0.830, total=   6.2s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=50, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=50, random_state=10, score=0.858, total=   1.5s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=50, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=50, random_state=10, score=0.852, total=   2.1s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=50, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=50, random_state=10, score=0.881, total=   2.3s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=50, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=50, random_state=10, score=0.880, total=   2.3s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=50, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=50, random_state=10, score=0.835, total=   2.2s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=100, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=100, random_state=10, score=0.858, total=   1.4s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=100, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=100, random_state=10, score=0.783, total=   3.6s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=100, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=100, random_state=10, score=0.867, total=   4.0s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=100, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=100, random_state=10, score=0.827, total=   4.2s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=100, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=100, random_state=10, score=0.799, total=   4.8s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=150, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=150, random_state=10, score=0.858, total=   1.7s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=150, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=150, random_state=10, score=0.741, total=   7.2s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=150, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=150, random_state=10, score=0.855, total=   6.8s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=150, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=150, random_state=10, score=0.794, total=   6.3s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=150, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=1.0, loss=square, n_estimators=150, random_state=10, score=0.755, total=   6.4s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=50, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=50, random_state=10, score=0.863, total=   2.6s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=50, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=50, random_state=10, score=0.918, total=   3.0s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=50, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=50, random_state=10, score=0.899, total=   3.6s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=50, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=50, random_state=10, score=0.925, total=   3.1s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=50, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=50, random_state=10, score=0.876, total=   3.1s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=100, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=100, random_state=10, score=0.863, total=   2.9s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=100, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=100, random_state=10, score=0.918, total=   3.7s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=100, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=100, random_state=10, score=0.895, total=   6.4s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=100, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=100, random_state=10, score=0.917, total=   5.1s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=100, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=100, random_state=10, score=0.876, total=   2.5s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=150, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=150, random_state=10, score=0.863, total=   2.7s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=150, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=150, random_state=10, score=0.918, total=   3.7s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=150, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=150, random_state=10, score=0.891, total=   9.8s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=150, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=150, random_state=10, score=0.907, total=   7.6s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=150, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=linear, n_estimators=150, random_state=10, score=0.876, total=   2.5s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=50, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=50, random_state=10, score=0.870, total=   2.6s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=50, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=50, random_state=10, score=0.902, total=   2.4s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=50, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=50, random_state=10, score=0.899, total=   3.0s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=50, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=50, random_state=10, score=0.915, total=   2.6s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=50, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=50, random_state=10, score=0.865, total=   3.2s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=100, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=100, random_state=10, score=0.835, total=   6.7s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=100, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=100, random_state=10, score=0.860, total=   5.3s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=100, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=100, random_state=10, score=0.887, total=   5.8s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=100, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=100, random_state=10, score=0.894, total=   8.7s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=100, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=100, random_state=10, score=0.850, total=   8.2s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=150, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=150, random_state=10, score=0.810, total=  10.4s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=150, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=150, random_state=10, score=0.819, total=  12.8s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=150, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=150, random_state=10, score=0.880, total=  11.1s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=150, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=150, random_state=10, score=0.860, total=   8.1s
[CV] base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=150, random_state=10 
[CV]  base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), learning_rate=0.5, loss=square, n_estimators=150, random_state=10, score=0.826, total=   7.4s
[Parallel(n_jobs=1)]: Done  60 out of  60 | elapsed:  4.8min finished
Out[535]:
GridSearchCV(cv=None, error_score=nan,
             estimator=AdaBoostRegressor(base_estimator=None, learning_rate=1.0,
                                         loss='linear', n_estimators=50,
                                         random_state=None),
             iid='deprecated', n_jobs=None,
             param_grid={'base_estimator': [SVR(C=350, cache_size=200,
                                                coef0=0.0, degree=2, epsilon=1,
                                                gamma='auto', kernel='rbf',
                                                max_iter=-1, shrinking=True,
                                                tol=1, verbose=False)],
                         'learning_rate': [1.0, 0.5],
                         'loss': ['linear', 'square'],
                         'n_estimators': [50, 100, 150], 'random_state': [10]},
             pre_dispatch='2*n_jobs', refit=True, return_train_score=False,
             scoring=None, verbose=3)
In [536]:
print(grid.best_params_)
print(grid.best_score_)
print(grid.best_estimator_)
{'base_estimator': SVR(C=350, cache_size=200, coef0=0.0, degree=2, epsilon=1, gamma='auto',
    kernel='rbf', max_iter=-1, shrinking=True, tol=1, verbose=False), 'learning_rate': 0.5, 'loss': 'linear', 'n_estimators': 50, 'random_state': 10}
0.8960544886114838
AdaBoostRegressor(base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2,
                                     epsilon=1, gamma='auto', kernel='rbf',
                                     max_iter=-1, shrinking=True, tol=1,
                                     verbose=False),
                  learning_rate=0.5, loss='linear', n_estimators=50,
                  random_state=10)
In [550]:
adab = AdaBoostRegressor(base_estimator=svr,
                  learning_rate=0.5, loss='linear', n_estimators=50,
                  random_state=10)
In [551]:
adab.fit(X_train_scaled,y_train)
print("The score on train data: ",adab.score(X_train_scaled,y_train))
print("\nThe score on test data: ",adab.score(X_test_scaled,y_test))
The score on train data:  0.9678795786062587

The score on test data:  0.8884722475444354
In [552]:
y_pred = adab.predict(X_test_scaled)
print("The RMSE score is ", np.sqrt(mse(y_pred,y_test)))
print("The R-squared value is ",r2_score(y_pred,y_test))

# Adaboost has a very good score of 88% and r2 of 87%
The RMSE score is  5.571478770740155
The R-squared value is  0.8736558428444001
In [540]:
scores = []
RMSE = []
r2= []
kf = KFold(n_splits=10, shuffle=False)
for train_index, test_index in kf.split(X,Y):
    X_train, X_test, y_train, y_test = X[train_index], X[test_index], Y[train_index], Y[test_index]
    ss_kf = StandardScaler()
    X_train_scaled = ss_kf.fit_transform(X_train)
    X_test_scaled = ss_kf.transform(X_test)
    model = AdaBoostRegressor(base_estimator=SVR(C=350, cache_size=200, coef0=0.0, degree=2,
                                     epsilon=1, gamma='auto', kernel='rbf',
                                     max_iter=-1, shrinking=True, tol=1,
                                     verbose=False),
                  learning_rate=0.5, loss='linear', n_estimators=50,
                  random_state=10)
    model.fit(X_train_scaled, y_train)
    y_pred = model.predict(X_test_scaled)
    scores.append(model.score(X_test_scaled, y_test))
    RMSE.append(np.sqrt(mse(y_pred, y_test)))
    r2.append(r2_score(y_pred,y_test))
In [541]:
model= "Ada Boost Regressor"
print("{:.2f}% to {:.2f}%".format((np.mean(scores)-2*np.std(scores))*100,(np.mean(scores)+2*np.std(scores))*100))
print("{:.2f} to {:.2f}".format((np.mean(RMSE)-2*np.std(RMSE)),(np.mean(RMSE)+2*np.std(RMSE))))
print("{:.2f} to {:.2f}".format((np.mean(r2)-2*np.std(r2)),(np.mean(r2)+2*np.std(r2))))
86.40% to 95.06%
3.44 to 6.43
0.84 to 0.95
In [543]:
g = pd.DataFrame({'Model perfomance at 95% confidence': model,'Score':'86.40% to 95.06%',
                  'RMSE':'3.44 to 6.43','R-squared':'0.84 to 0.95'} ,index=[7])
g
Out[543]:
Model perfomance at 95% confidence Score RMSE R-squared
7 Ada Boost Regressor 86.40% to 95.06% 3.44 to 6.43 0.84 to 0.95

GRADIENT BOOSTING REGRESSOR

In [545]:
param_grid={
    'loss':['ls','lad'],
    'learning_rate':[0.1,0.5,1],
    'n_estimators':[50,100,150],
    'subsample':[1.0],
    'criterion':['friedman_mse',"mse"],
    'min_samples_split':[4],
    'min_samples_leaf':[1],
    'min_weight_fraction_leaf':[0.0],
    'max_depth':[3,4,5,6],
    'random_state':[seed],
}
In [547]:
grid = GridSearchCV(GradientBoostingRegressor(), param_grid, refit = True, verbose = 3) 
grid.fit(X_train_scaled,y_train)
Fitting 5 folds for each of 144 candidates, totalling 720 fits
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.845, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.885, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.861, total=   0.1s
[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    0.1s remaining:    0.0s
[Parallel(n_jobs=1)]: Done   2 out of   2 | elapsed:    0.2s remaining:    0.0s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.887, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.879, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.866, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.908, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.886, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.912, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.904, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.873, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.916, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.900, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.921, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.914, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.866, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.904, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.890, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.910, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.889, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.884, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.924, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.909, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.926, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.911, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.888, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.930, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.914, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.934, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.922, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.882, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.925, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.902, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.924, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.908, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.890, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.935, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.915, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.936, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.923, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.894, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.938, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.918, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.938, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.928, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.882, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.933, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.907, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.919, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.896, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.890, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.940, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.911, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.927, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.905, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.890, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.942, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.912, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.929, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.909, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.841, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.854, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.837, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.875, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.855, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.867, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.886, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.868, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.894, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.880, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.868, total=   0.6s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.895, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.876, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.900, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.891, total=   0.7s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.856, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.886, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.856, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.894, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.880, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.881, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.908, total=   0.6s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.876, total=   0.7s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.909, total=   0.6s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.901, total=   0.6s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.886, total=   0.8s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.913, total=   0.8s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.883, total=   0.7s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.914, total=   0.8s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.906, total=   0.7s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.872, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.904, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.869, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.916, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.890, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.888, total=   0.6s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.917, total=   0.8s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.880, total=   0.7s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.924, total=   0.8s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.903, total=   0.9s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.892, total=   1.0s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.919, total=   0.8s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.883, total=   1.0s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.926, total=   1.1s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.908, total=   0.9s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.873, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.909, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.870, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.898, total=   0.6s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.897, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.890, total=   0.8s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.926, total=   0.8s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.883, total=   0.8s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.911, total=   0.8s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.904, total=   0.8s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.893, total=   1.1s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.928, total=   1.4s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.886, total=   1.7s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.914, total=   1.7s
[CV] criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.905, total=   1.7s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.872, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.917, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.889, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.923, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.910, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.872, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.926, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.896, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.933, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.918, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.871, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.932, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.897, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.939, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.921, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.886, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.915, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.895, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.934, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.911, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.882, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.923, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.899, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.935, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.913, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.882, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.922, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.899, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.936, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.913, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.881, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.928, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.920, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.935, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.909, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.881, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.927, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.920, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.932, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.908, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.882, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.926, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.920, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.931, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.909, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.868, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.932, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.912, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.928, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.892, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.868, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.932, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.912, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.928, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.891, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.867, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.931, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.911, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.927, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.891, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.865, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.902, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.877, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.897, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.895, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.869, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.906, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.880, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.902, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.904, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.876, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.901, total=   0.6s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.882, total=   0.6s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.902, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.905, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.858, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.898, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.876, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.880, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.885, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.858, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.904, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.883, total=   0.6s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.884, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.892, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.870, total=   0.6s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.905, total=   0.7s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.885, total=   0.8s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.886, total=   0.7s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.896, total=   0.7s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.846, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.911, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.879, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.895, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.894, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.848, total=   0.7s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.916, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.882, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.898, total=   0.7s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.901, total=   0.7s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.846, total=   0.9s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.921, total=   0.9s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.889, total=   0.8s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.901, total=   0.9s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.903, total=   1.0s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.859, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.911, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.881, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.917, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.894, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.862, total=   1.0s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.912, total=   0.9s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.876, total=   0.8s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.918, total=   0.8s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.894, total=   0.8s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.862, total=   1.1s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.918, total=   1.4s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.878, total=   1.1s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.918, total=   1.5s
[CV] criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.895, total=   1.1s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.835, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.834, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.886, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.911, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.872, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.843, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.834, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.887, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.922, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.864, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.852, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.838, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.886, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.922, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.859, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.800, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.820, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.883, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.901, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.859, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.797, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.827, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.887, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.906, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.861, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.797, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.828, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.887, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.904, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.860, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.774, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.866, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.883, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.885, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.819, total=   0.1s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.779, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.862, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.885, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.879, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.820, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.779, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.862, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.885, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.878, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.819, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.810, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.879, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.870, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.878, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.798, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.809, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.879, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.868, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.879, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.798, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.809, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.879, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.868, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.879, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.798, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.842, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.848, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.843, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.851, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.858, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.833, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.862, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.842, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.856, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.864, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.840, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.862, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.842, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.856, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.864, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.757, total=   0.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.848, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.838, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.826, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.811, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.760, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.848, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.837, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.834, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.815, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.760, total=   0.7s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.848, total=   0.7s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.837, total=   0.5s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.833, total=   0.7s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.815, total=   0.8s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.748, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.845, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.829, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.818, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.839, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.749, total=   0.6s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.848, total=   0.7s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.836, total=   0.6s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.818, total=   0.6s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.840, total=   0.7s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.747, total=   1.0s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.849, total=   1.0s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.836, total=   0.8s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.818, total=   0.8s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.836, total=   0.9s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.694, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.807, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.784, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.852, total=   0.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.814, total=   0.4s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.680, total=   0.9s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.807, total=   0.6s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.784, total=   0.9s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.859, total=   0.7s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.812, total=   0.7s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.682, total=   1.3s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.810, total=   1.2s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.784, total=   1.1s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.859, total=   1.0s
[CV] criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=friedman_mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.814, total=   1.1s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.845, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.885, total=   0.1s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.861, total=   0.1s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.887, total=   0.1s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.879, total=   0.1s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.866, total=   0.3s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.908, total=   0.3s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.886, total=   0.3s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.912, total=   0.3s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.904, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.873, total=   0.3s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.916, total=   0.3s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.900, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.921, total=   0.3s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.914, total=   0.3s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.866, total=   0.1s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.904, total=   0.1s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.890, total=   0.1s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.910, total=   0.1s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.889, total=   0.1s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.884, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.924, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.909, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.926, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.911, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.888, total=   0.3s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.930, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.914, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.934, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.922, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.882, total=   0.1s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.925, total=   0.1s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.902, total=   0.1s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.924, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.908, total=   0.1s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.890, total=   0.3s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.935, total=   0.3s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.915, total=   0.3s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.936, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.923, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.894, total=   0.4s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.938, total=   0.4s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.918, total=   0.4s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.938, total=   0.3s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.928, total=   0.4s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.881, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.932, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.906, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.920, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.896, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.890, total=   0.3s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.939, total=   0.4s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.911, total=   0.4s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.927, total=   0.4s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.906, total=   0.3s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.890, total=   0.5s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.941, total=   0.5s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.912, total=   0.4s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.929, total=   0.4s
[CV] criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.909, total=   0.3s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.841, total=   0.1s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.854, total=   0.1s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.837, total=   0.1s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.875, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.855, total=   0.1s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.867, total=   0.3s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.886, total=   0.3s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.868, total=   0.3s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.894, total=   0.3s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.880, total=   0.3s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.868, total=   0.4s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.895, total=   0.4s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.876, total=   0.4s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.900, total=   0.4s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.891, total=   0.4s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.856, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.886, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.856, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.894, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.880, total=   0.2s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.881, total=   0.4s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.908, total=   0.4s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.876, total=   0.4s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.909, total=   0.4s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.901, total=   0.4s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.886, total=   0.7s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.913, total=   0.7s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.883, total=   0.8s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.914, total=   0.7s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.906, total=   0.8s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.872, total=   0.7s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.904, total=   0.5s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.869, total=   0.4s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.916, total=   0.3s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.890, total=   0.5s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.888, total=   0.8s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.917, total=   0.8s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.880, total=   1.0s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.922, total=   0.7s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.903, total=   0.6s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.892, total=   0.8s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.919, total=   1.1s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.883, total=   1.4s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.927, total=   1.1s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.908, total=   0.8s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.873, total=   0.6s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.909, total=   0.6s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.870, total=   0.4s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.898, total=   0.4s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.898, total=   0.4s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.890, total=   0.7s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.926, total=   0.8s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.883, total=   0.7s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.911, total=   0.7s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.910, total=   0.8s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.893, total=   1.4s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.928, total=   1.2s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.886, total=   1.1s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.914, total=   1.1s
[CV] criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.912, total=   1.4s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.872, total=   0.1s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.917, total=   0.1s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.889, total=   0.1s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.923, total=   0.1s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.910, total=   0.1s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.872, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.926, total=   0.1s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.896, total=   0.1s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.933, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.918, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.871, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.932, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.897, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.939, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.921, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.886, total=   0.1s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.915, total=   0.1s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.895, total=   0.1s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.934, total=   0.1s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.911, total=   0.1s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.882, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.923, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.899, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.935, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.913, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.882, total=   0.4s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.922, total=   0.4s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.899, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.936, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.913, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.881, total=   0.1s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.928, total=   0.1s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.920, total=   0.1s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.935, total=   0.1s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.909, total=   0.1s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.881, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.927, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.920, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.932, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.908, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.882, total=   0.4s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.926, total=   0.4s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.920, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.931, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.909, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.867, total=   0.1s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.932, total=   0.1s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.912, total=   0.1s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.928, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.892, total=   0.1s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.867, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.932, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.912, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.928, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.891, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.866, total=   0.5s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.931, total=   0.4s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.911, total=   0.4s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.927, total=   0.4s
[CV] criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.891, total=   0.4s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.865, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.902, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.877, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.897, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.895, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.869, total=   0.4s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.906, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.880, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.902, total=   0.4s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.904, total=   0.4s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.876, total=   0.5s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.901, total=   0.5s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.882, total=   0.6s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.902, total=   0.5s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.905, total=   0.5s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.858, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.898, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.876, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.880, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.885, total=   0.2s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.858, total=   0.5s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.904, total=   0.6s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.883, total=   0.5s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.884, total=   0.4s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.892, total=   0.4s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.870, total=   0.5s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.905, total=   0.6s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.885, total=   0.6s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.886, total=   0.5s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.896, total=   0.7s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.846, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.911, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.879, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.895, total=   0.4s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.894, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.848, total=   0.5s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.916, total=   0.5s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.882, total=   0.4s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.898, total=   0.7s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.901, total=   0.6s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.846, total=   0.8s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.921, total=   0.6s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.889, total=   0.6s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.901, total=   0.7s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.903, total=   0.7s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.857, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.910, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.881, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.917, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.894, total=   0.3s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.861, total=   0.6s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.917, total=   0.6s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.876, total=   0.6s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.918, total=   0.6s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.894, total=   0.6s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.860, total=   0.9s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.920, total=   0.8s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.878, total=   1.0s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.918, total=   1.2s
[CV] criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=0.5, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.895, total=   1.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.835, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.834, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.886, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.911, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.872, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.843, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.834, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.887, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.922, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.864, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.852, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.838, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.886, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.922, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.859, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.800, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.820, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.883, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.901, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.859, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.797, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.827, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.887, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.906, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.861, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.797, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.828, total=   0.3s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.887, total=   0.3s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.904, total=   0.3s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.860, total=   0.3s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.775, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.866, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.881, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.885, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.819, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.780, total=   0.3s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.862, total=   0.3s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.883, total=   0.3s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.879, total=   0.3s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.820, total=   0.3s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.780, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.862, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.883, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.878, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.819, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.807, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.879, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.870, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.878, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.798, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.806, total=   0.3s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.879, total=   0.3s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.868, total=   0.3s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.879, total=   0.3s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.798, total=   0.3s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.806, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.879, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.868, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.879, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=ls, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.798, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.842, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.848, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.843, total=   0.1s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.851, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.858, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.833, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.862, total=   0.3s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.842, total=   0.3s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.856, total=   0.3s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.864, total=   0.3s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.840, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.862, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.842, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.856, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=3, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.864, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.757, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.848, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.838, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.836, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.811, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.760, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.848, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.837, total=   0.3s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.844, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.815, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.760, total=   0.5s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.848, total=   0.5s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.837, total=   0.5s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.847, total=   0.5s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=4, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.815, total=   0.6s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.748, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.835, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.829, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.818, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.839, total=   0.2s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.749, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.834, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.836, total=   0.5s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.818, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.840, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.747, total=   0.7s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.834, total=   0.6s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.836, total=   0.6s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.818, total=   0.6s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=5, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.836, total=   0.6s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.701, total=   0.4s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.807, total=   0.3s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.784, total=   0.3s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.852, total=   0.3s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=50, random_state=10, subsample=1.0, score=0.814, total=   0.3s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.694, total=   0.7s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.807, total=   0.5s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.784, total=   0.6s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.859, total=   0.5s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=100, random_state=10, subsample=1.0, score=0.812, total=   0.6s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.701, total=   1.0s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.810, total=   0.8s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.784, total=   0.8s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.859, total=   0.7s
[CV] criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0 
[CV]  criterion=mse, learning_rate=1, loss=lad, max_depth=6, min_samples_leaf=1, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=150, random_state=10, subsample=1.0, score=0.814, total=   0.8s
[Parallel(n_jobs=1)]: Done 720 out of 720 | elapsed:  4.7min finished
Out[547]:
GridSearchCV(cv=None, error_score=nan,
             estimator=GradientBoostingRegressor(alpha=0.9, ccp_alpha=0.0,
                                                 criterion='friedman_mse',
                                                 init=None, learning_rate=0.1,
                                                 loss='ls', max_depth=3,
                                                 max_features=None,
                                                 max_leaf_nodes=None,
                                                 min_impurity_decrease=0.0,
                                                 min_impurity_split=None,
                                                 min_samples_leaf=1,
                                                 min_samples_split=2,
                                                 min_weight_fraction_leaf=0.0,
                                                 n_estimators=100,
                                                 n_ite...
             iid='deprecated', n_jobs=None,
             param_grid={'criterion': ['friedman_mse', 'mse'],
                         'learning_rate': [0.1, 0.5, 1], 'loss': ['ls', 'lad'],
                         'max_depth': [3, 4, 5, 6], 'min_samples_leaf': [1],
                         'min_samples_split': [4],
                         'min_weight_fraction_leaf': [0.0],
                         'n_estimators': [50, 100, 150], 'random_state': [10],
                         'subsample': [1.0]},
             pre_dispatch='2*n_jobs', refit=True, return_train_score=False,
             scoring=None, verbose=3)
In [548]:
print(grid.best_params_)
print(grid.best_score_)
print(grid.best_estimator_)
{'criterion': 'mse', 'learning_rate': 0.1, 'loss': 'ls', 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 4, 'min_weight_fraction_leaf': 0.0, 'n_estimators': 150, 'random_state': 10, 'subsample': 1.0}
0.9233546065127701
GradientBoostingRegressor(alpha=0.9, ccp_alpha=0.0, criterion='mse', init=None,
                          learning_rate=0.1, loss='ls', max_depth=5,
                          max_features=None, max_leaf_nodes=None,
                          min_impurity_decrease=0.0, min_impurity_split=None,
                          min_samples_leaf=1, min_samples_split=4,
                          min_weight_fraction_leaf=0.0, n_estimators=150,
                          n_iter_no_change=None, presort='deprecated',
                          random_state=10, subsample=1.0, tol=0.0001,
                          validation_fraction=0.1, verbose=0, warm_start=False)
In [549]:
gboost = GradientBoostingRegressor(alpha=0.9, ccp_alpha=0.0, criterion='mse', init=None,
                          learning_rate=0.1, loss='ls', max_depth=5,
                          max_features=None, max_leaf_nodes=None,
                          min_impurity_decrease=0.0, min_impurity_split=None,
                          min_samples_leaf=1, min_samples_split=4,
                          min_weight_fraction_leaf=0.0, n_estimators=150,
                          n_iter_no_change=None, presort='deprecated',
                          random_state=10, subsample=1.0, tol=0.0001,
                          validation_fraction=0.1, verbose=0, warm_start=False)
In [553]:
gboost.fit(X_train_scaled,y_train)
print("The score on train data: ",gboost.score(X_train_scaled,y_train))
print("\nThe score on test data: ",gboost.score(X_test_scaled,y_test))
The score on train data:  0.9891914133000961

The score on test data:  0.9376440400421949
In [554]:
y_pred = gboost.predict(X_test_scaled)
print("The RMSE score is ", np.sqrt(mse(y_pred,y_test)))
print("The R-squared value is ",r2_score(y_pred,y_test))

# Gradient boosting model has a score of almost 94% and r2 as 0.93% with a RMSE value of '4'. 
# This is a good model
The RMSE score is  4.165987760466133
The R-squared value is  0.9287443858422618
In [555]:
scores = []
RMSE = []
r2= []
kf = KFold(n_splits=10, shuffle=False)
for train_index, test_index in kf.split(X,Y):
    X_train, X_test, y_train, y_test = X[train_index], X[test_index], Y[train_index], Y[test_index]
    ss_kf = StandardScaler()
    X_train_scaled = ss_kf.fit_transform(X_train)
    X_test_scaled = ss_kf.transform(X_test)
    model = GradientBoostingRegressor(alpha=0.9, ccp_alpha=0.0, criterion='mse', init=None,
                          learning_rate=0.1, loss='ls', max_depth=5,
                          max_features=None, max_leaf_nodes=None,
                          min_impurity_decrease=0.0, min_impurity_split=None,
                          min_samples_leaf=1, min_samples_split=4,
                          min_weight_fraction_leaf=0.0, n_estimators=150,
                          n_iter_no_change=None, presort='deprecated',
                          random_state=10, subsample=1.0, tol=0.0001,
                          validation_fraction=0.1, verbose=0, warm_start=False)
    model.fit(X_train_scaled, y_train)
    y_pred = model.predict(X_test_scaled)
    scores.append(model.score(X_test_scaled, y_test))
    RMSE.append(np.sqrt(mse(y_pred, y_test)))
    r2.append(r2_score(y_pred,y_test))
In [556]:
model= "Gradient Boosting Regressor"
print("{:.2f}% to {:.2f}%".format((np.mean(scores)-2*np.std(scores))*100,(np.mean(scores)+2*np.std(scores))*100))
print("{:.2f} to {:.2f}".format((np.mean(RMSE)-2*np.std(RMSE)),(np.mean(RMSE)+2*np.std(RMSE))))
print("{:.2f} to {:.2f}".format((np.mean(r2)-2*np.std(r2)),(np.mean(r2)+2*np.std(r2))))
89.21% to 97.76%
2.58 to 5.63
0.88 to 0.98
In [557]:
h = pd.DataFrame({'Model perfomance at 95% confidence': model,'Score':'89.21% to 97.76%',
                  'RMSE':'2.58 to 5.63','R-squared':'0.88 to 0.98'} ,index=[8])
h
Out[557]:
Model perfomance at 95% confidence Score RMSE R-squared
8 Gradient Boosting Regressor 89.21% to 97.76% 2.58 to 5.63 0.88 to 0.98

RANDOM FOREST REGRESSOR

In [585]:
param_grid = {
    
    'n_estimators':[50,100,150],
    'criterion':['mse','mae'],
    'max_depth':[4,5,6,7,8],
    'min_samples_split':[3],
    'min_samples_leaf':[1],
    'random_state':[seed],
    
}
In [586]:
grid = GridSearchCV(RandomForestRegressor(), param_grid, refit = True, verbose = 3) 
grid.fit(X_train_scaled,y_train)
Fitting 5 folds for each of 30 candidates, totalling 150 fits
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.752, total=   0.2s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.767, total=   0.2s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    0.1s remaining:    0.0s
[Parallel(n_jobs=1)]: Done   2 out of   2 | elapsed:    0.3s remaining:    0.0s
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.788, total=   0.2s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.805, total=   0.2s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.735, total=   0.2s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.755, total=   0.4s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.766, total=   0.4s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.788, total=   0.3s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.806, total=   0.3s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.736, total=   0.3s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.754, total=   0.6s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.777, total=   0.6s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.788, total=   0.5s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.806, total=   0.5s
[CV] criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.738, total=   0.4s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.813, total=   0.1s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.830, total=   0.2s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.838, total=   0.2s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.853, total=   0.2s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.803, total=   0.2s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.815, total=   0.3s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.829, total=   0.3s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.838, total=   0.4s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.855, total=   0.4s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.804, total=   0.3s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.817, total=   0.5s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.837, total=   0.5s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.838, total=   0.4s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.854, total=   0.6s
[CV] criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.807, total=   0.5s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.836, total=   0.2s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.869, total=   0.2s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.863, total=   0.2s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.879, total=   0.2s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.838, total=   0.2s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.839, total=   0.4s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.868, total=   0.3s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.865, total=   0.3s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.881, total=   0.3s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.840, total=   0.3s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.841, total=   0.5s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.873, total=   0.5s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.863, total=   0.6s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.881, total=   0.6s
[CV] criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.841, total=   0.5s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.852, total=   0.2s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.895, total=   0.2s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.878, total=   0.2s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.890, total=   0.2s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.861, total=   0.2s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.855, total=   0.4s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.894, total=   0.4s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.877, total=   0.4s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.893, total=   0.4s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.863, total=   0.4s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.856, total=   0.6s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.897, total=   0.5s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.876, total=   0.5s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.893, total=   0.6s
[CV] criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.863, total=   0.6s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.861, total=   0.2s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.908, total=   0.2s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.888, total=   0.2s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.899, total=   0.2s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.873, total=   0.2s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.863, total=   0.4s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.909, total=   0.4s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.886, total=   0.4s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.901, total=   0.4s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.875, total=   0.4s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.864, total=   0.6s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.911, total=   0.5s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.884, total=   0.5s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.900, total=   0.5s
[CV] criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mse, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.875, total=   0.6s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.749, total=   0.7s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.762, total=   0.7s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.779, total=   0.6s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.802, total=   0.6s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.693, total=   0.6s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.754, total=   1.2s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.766, total=   1.2s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.774, total=   1.2s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.801, total=   1.4s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.701, total=   1.4s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.753, total=   2.3s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.772, total=   2.0s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.776, total=   2.1s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.802, total=   2.5s
[CV] criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=4, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.701, total=   2.4s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.805, total=   0.9s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.830, total=   0.8s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.833, total=   1.1s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.847, total=   0.9s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.785, total=   0.7s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.807, total=   1.7s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.831, total=   2.2s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.827, total=   1.8s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.844, total=   1.4s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.789, total=   1.6s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.807, total=   2.6s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.837, total=   2.1s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.826, total=   1.9s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.845, total=   2.0s
[CV] criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=5, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.790, total=   2.1s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.831, total=   0.7s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.868, total=   0.7s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.865, total=   0.8s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.876, total=   0.7s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.825, total=   0.8s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.835, total=   1.4s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.868, total=   1.4s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.861, total=   1.6s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.874, total=   1.8s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.830, total=   2.2s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.836, total=   2.4s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.872, total=   2.8s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.858, total=   2.4s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.874, total=   2.3s
[CV] criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=6, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.832, total=   2.3s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.848, total=   0.8s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.887, total=   0.8s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.880, total=   1.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.888, total=   0.9s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.844, total=   1.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.849, total=   2.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.888, total=   1.6s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.876, total=   1.6s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.889, total=   1.7s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.852, total=   2.0s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.850, total=   2.5s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.891, total=   2.6s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.875, total=   2.5s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.891, total=   2.5s
[CV] criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=7, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.852, total=   3.0s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.862, total=   0.9s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.898, total=   0.8s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.889, total=   0.8s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.899, total=   0.8s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=50, random_state=10, score=0.860, total=   0.9s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.863, total=   1.6s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.901, total=   1.7s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.887, total=   1.7s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.898, total=   1.7s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=100, random_state=10, score=0.866, total=   1.7s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.864, total=   2.5s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.904, total=   2.8s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.885, total=   3.2s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.899, total=   3.1s
[CV] criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10 
[CV]  criterion=mae, max_depth=8, min_samples_leaf=1, min_samples_split=3, n_estimators=150, random_state=10, score=0.865, total=   3.2s
[Parallel(n_jobs=1)]: Done 150 out of 150 | elapsed:  2.5min finished
Out[586]:
GridSearchCV(cv=None, error_score=nan,
             estimator=RandomForestRegressor(bootstrap=True, ccp_alpha=0.0,
                                             criterion='mse', max_depth=None,
                                             max_features='auto',
                                             max_leaf_nodes=None,
                                             max_samples=None,
                                             min_impurity_decrease=0.0,
                                             min_impurity_split=None,
                                             min_samples_leaf=1,
                                             min_samples_split=2,
                                             min_weight_fraction_leaf=0.0,
                                             n_estimators=100, n_jobs=None,
                                             oob_score=False, random_state=None,
                                             verbose=0, warm_start=False),
             iid='deprecated', n_jobs=None,
             param_grid={'criterion': ['mse', 'mae'],
                         'max_depth': [4, 5, 6, 7, 8], 'min_samples_leaf': [1],
                         'min_samples_split': [3],
                         'n_estimators': [50, 100, 150], 'random_state': [10]},
             pre_dispatch='2*n_jobs', refit=True, return_train_score=False,
             scoring=None, verbose=3)
In [587]:
print(grid.best_params_)
print(grid.best_score_)
print(grid.best_estimator_)
{'criterion': 'mse', 'max_depth': 8, 'min_samples_leaf': 1, 'min_samples_split': 3, 'n_estimators': 150, 'random_state': 10}
0.8868907232195353
RandomForestRegressor(bootstrap=True, ccp_alpha=0.0, criterion='mse',
                      max_depth=8, max_features='auto', max_leaf_nodes=None,
                      max_samples=None, min_impurity_decrease=0.0,
                      min_impurity_split=None, min_samples_leaf=1,
                      min_samples_split=3, min_weight_fraction_leaf=0.0,
                      n_estimators=150, n_jobs=None, oob_score=False,
                      random_state=10, verbose=0, warm_start=False)
In [589]:
randf = RandomForestRegressor(bootstrap=True, ccp_alpha=0.0, criterion='mse',
                      max_depth=8, max_features='auto', max_leaf_nodes=None,
                      max_samples=None, min_impurity_decrease=0.0,
                      min_impurity_split=None, min_samples_leaf=1,
                      min_samples_split=3, min_weight_fraction_leaf=0.0,
                      n_estimators=150, n_jobs=None, oob_score=False,
                      random_state=10, verbose=0, warm_start=False)
In [590]:
randf.fit(X_train_scaled,y_train)
print("The score on train data: ",randf.score(X_train_scaled,y_train))
print("\nThe score on test data: ",randf.score(X_test_scaled,y_test))
The score on train data:  0.9610761923400862

The score on test data:  0.8893289294654667
In [591]:
y_pred = randf.predict(X_test_scaled)
print("The RMSE score is ", np.sqrt(mse(y_pred,y_test)))
print("The R-squared value is ",r2_score(y_pred,y_test))

# random forest has a score of 89% and rmse value of 5 anf r2 as 0.86
The RMSE score is  5.550039325728872
The R-squared value is  0.8636556995079089
In [592]:
scores = []
RMSE = []
r2= []
kf = KFold(n_splits=10, shuffle=False)
for train_index, test_index in kf.split(X,Y):
    X_train, X_test, y_train, y_test = X[train_index], X[test_index], Y[train_index], Y[test_index]
    ss_kf = StandardScaler()
    X_train_scaled = ss_kf.fit_transform(X_train)
    X_test_scaled = ss_kf.transform(X_test)
    model = RandomForestRegressor(bootstrap=True, ccp_alpha=0.0, criterion='mse',
                      max_depth=8, max_features='auto', max_leaf_nodes=None,
                      max_samples=None, min_impurity_decrease=0.0,
                      min_impurity_split=None, min_samples_leaf=1,
                      min_samples_split=3, min_weight_fraction_leaf=0.0,
                      n_estimators=150, n_jobs=None, oob_score=False,
                      random_state=10, verbose=0, warm_start=False)
    model.fit(X_train_scaled, y_train)
    y_pred = model.predict(X_test_scaled)
    scores.append(model.score(X_test_scaled, y_test))
    RMSE.append(np.sqrt(mse(y_pred, y_test)))
    r2.append(r2_score(y_pred,y_test))
In [593]:
model= "Random Forest Regressor"
print("{:.2f}% to {:.2f}%".format((np.mean(scores)-2*np.std(scores))*100,(np.mean(scores)+2*np.std(scores))*100))
print("{:.2f} to {:.2f}".format((np.mean(RMSE)-2*np.std(RMSE)),(np.mean(RMSE)+2*np.std(RMSE))))
print("{:.2f} to {:.2f}".format((np.mean(r2)-2*np.std(r2)),(np.mean(r2)+2*np.std(r2))))
84.58% to 94.95%
3.82 to 6.51
0.81 to 0.94
In [594]:
i = pd.DataFrame({'Model perfomance at 95% confidence': model,'Score':'84.58% to 94.95%',
                  'RMSE':'3.82 to 6.51','R-squared':'0.81 to 0.94'} ,index=[9])
i
Out[594]:
Model perfomance at 95% confidence Score RMSE R-squared
9 Random Forest Regressor 84.58% to 94.95% 3.82 to 6.51 0.81 to 0.94

EXTRA TREES REGRESSOR

In [598]:
param_grid={
    'n_estimators':[50,100,150],
    'criterion':['mse','mae'],
    'max_depth':[3,4,5,6,7],
    'random_state':[seed],
}
In [599]:
grid = GridSearchCV(ExtraTreesRegressor(), param_grid, refit = True, verbose = 3) 
grid.fit(X_train_scaled,y_train)
Fitting 5 folds for each of 30 candidates, totalling 150 fits
[CV] criterion=mse, max_depth=3, n_estimators=50, random_state=10 ....
[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
[CV]  criterion=mse, max_depth=3, n_estimators=50, random_state=10, score=0.647, total=   0.2s
[CV] criterion=mse, max_depth=3, n_estimators=50, random_state=10 ....
[CV]  criterion=mse, max_depth=3, n_estimators=50, random_state=10, score=0.643, total=   0.1s
[CV] criterion=mse, max_depth=3, n_estimators=50, random_state=10 ....
[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    0.1s remaining:    0.0s
[Parallel(n_jobs=1)]: Done   2 out of   2 | elapsed:    0.2s remaining:    0.0s
[CV]  criterion=mse, max_depth=3, n_estimators=50, random_state=10, score=0.638, total=   0.1s
[CV] criterion=mse, max_depth=3, n_estimators=50, random_state=10 ....
[CV]  criterion=mse, max_depth=3, n_estimators=50, random_state=10, score=0.659, total=   0.1s
[CV] criterion=mse, max_depth=3, n_estimators=50, random_state=10 ....
[CV]  criterion=mse, max_depth=3, n_estimators=50, random_state=10, score=0.632, total=   0.1s
[CV] criterion=mse, max_depth=3, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=3, n_estimators=100, random_state=10, score=0.650, total=   0.2s
[CV] criterion=mse, max_depth=3, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=3, n_estimators=100, random_state=10, score=0.648, total=   0.2s
[CV] criterion=mse, max_depth=3, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=3, n_estimators=100, random_state=10, score=0.635, total=   0.2s
[CV] criterion=mse, max_depth=3, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=3, n_estimators=100, random_state=10, score=0.656, total=   0.2s
[CV] criterion=mse, max_depth=3, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=3, n_estimators=100, random_state=10, score=0.635, total=   0.2s
[CV] criterion=mse, max_depth=3, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=3, n_estimators=150, random_state=10, score=0.650, total=   0.3s
[CV] criterion=mse, max_depth=3, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=3, n_estimators=150, random_state=10, score=0.650, total=   0.2s
[CV] criterion=mse, max_depth=3, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=3, n_estimators=150, random_state=10, score=0.634, total=   0.2s
[CV] criterion=mse, max_depth=3, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=3, n_estimators=150, random_state=10, score=0.654, total=   0.2s
[CV] criterion=mse, max_depth=3, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=3, n_estimators=150, random_state=10, score=0.638, total=   0.3s
[CV] criterion=mse, max_depth=4, n_estimators=50, random_state=10 ....
[CV]  criterion=mse, max_depth=4, n_estimators=50, random_state=10, score=0.742, total=   0.1s
[CV] criterion=mse, max_depth=4, n_estimators=50, random_state=10 ....
[CV]  criterion=mse, max_depth=4, n_estimators=50, random_state=10, score=0.757, total=   0.1s
[CV] criterion=mse, max_depth=4, n_estimators=50, random_state=10 ....
[CV]  criterion=mse, max_depth=4, n_estimators=50, random_state=10, score=0.746, total=   0.1s
[CV] criterion=mse, max_depth=4, n_estimators=50, random_state=10 ....
[CV]  criterion=mse, max_depth=4, n_estimators=50, random_state=10, score=0.749, total=   0.1s
[CV] criterion=mse, max_depth=4, n_estimators=50, random_state=10 ....
[CV]  criterion=mse, max_depth=4, n_estimators=50, random_state=10, score=0.719, total=   0.1s
[CV] criterion=mse, max_depth=4, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=4, n_estimators=100, random_state=10, score=0.730, total=   0.3s
[CV] criterion=mse, max_depth=4, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=4, n_estimators=100, random_state=10, score=0.756, total=   0.3s
[CV] criterion=mse, max_depth=4, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=4, n_estimators=100, random_state=10, score=0.740, total=   0.3s
[CV] criterion=mse, max_depth=4, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=4, n_estimators=100, random_state=10, score=0.751, total=   0.3s
[CV] criterion=mse, max_depth=4, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=4, n_estimators=100, random_state=10, score=0.716, total=   0.2s
[CV] criterion=mse, max_depth=4, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=4, n_estimators=150, random_state=10, score=0.729, total=   0.4s
[CV] criterion=mse, max_depth=4, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=4, n_estimators=150, random_state=10, score=0.756, total=   0.3s
[CV] criterion=mse, max_depth=4, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=4, n_estimators=150, random_state=10, score=0.739, total=   0.3s
[CV] criterion=mse, max_depth=4, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=4, n_estimators=150, random_state=10, score=0.749, total=   0.3s
[CV] criterion=mse, max_depth=4, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=4, n_estimators=150, random_state=10, score=0.718, total=   0.3s
[CV] criterion=mse, max_depth=5, n_estimators=50, random_state=10 ....
[CV]  criterion=mse, max_depth=5, n_estimators=50, random_state=10, score=0.787, total=   0.1s
[CV] criterion=mse, max_depth=5, n_estimators=50, random_state=10 ....
[CV]  criterion=mse, max_depth=5, n_estimators=50, random_state=10, score=0.819, total=   0.1s
[CV] criterion=mse, max_depth=5, n_estimators=50, random_state=10 ....
[CV]  criterion=mse, max_depth=5, n_estimators=50, random_state=10, score=0.797, total=   0.1s
[CV] criterion=mse, max_depth=5, n_estimators=50, random_state=10 ....
[CV]  criterion=mse, max_depth=5, n_estimators=50, random_state=10, score=0.814, total=   0.1s
[CV] criterion=mse, max_depth=5, n_estimators=50, random_state=10 ....
[CV]  criterion=mse, max_depth=5, n_estimators=50, random_state=10, score=0.783, total=   0.1s
[CV] criterion=mse, max_depth=5, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=5, n_estimators=100, random_state=10, score=0.781, total=   0.2s
[CV] criterion=mse, max_depth=5, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=5, n_estimators=100, random_state=10, score=0.817, total=   0.2s
[CV] criterion=mse, max_depth=5, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=5, n_estimators=100, random_state=10, score=0.797, total=   0.2s
[CV] criterion=mse, max_depth=5, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=5, n_estimators=100, random_state=10, score=0.813, total=   0.2s
[CV] criterion=mse, max_depth=5, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=5, n_estimators=100, random_state=10, score=0.782, total=   0.2s
[CV] criterion=mse, max_depth=5, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=5, n_estimators=150, random_state=10, score=0.776, total=   0.3s
[CV] criterion=mse, max_depth=5, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=5, n_estimators=150, random_state=10, score=0.818, total=   0.3s
[CV] criterion=mse, max_depth=5, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=5, n_estimators=150, random_state=10, score=0.797, total=   0.3s
[CV] criterion=mse, max_depth=5, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=5, n_estimators=150, random_state=10, score=0.815, total=   0.3s
[CV] criterion=mse, max_depth=5, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=5, n_estimators=150, random_state=10, score=0.778, total=   0.3s
[CV] criterion=mse, max_depth=6, n_estimators=50, random_state=10 ....
[CV]  criterion=mse, max_depth=6, n_estimators=50, random_state=10, score=0.814, total=   0.1s
[CV] criterion=mse, max_depth=6, n_estimators=50, random_state=10 ....
[CV]  criterion=mse, max_depth=6, n_estimators=50, random_state=10, score=0.854, total=   0.1s
[CV] criterion=mse, max_depth=6, n_estimators=50, random_state=10 ....
[CV]  criterion=mse, max_depth=6, n_estimators=50, random_state=10, score=0.844, total=   0.1s
[CV] criterion=mse, max_depth=6, n_estimators=50, random_state=10 ....
[CV]  criterion=mse, max_depth=6, n_estimators=50, random_state=10, score=0.859, total=   0.1s
[CV] criterion=mse, max_depth=6, n_estimators=50, random_state=10 ....
[CV]  criterion=mse, max_depth=6, n_estimators=50, random_state=10, score=0.818, total=   0.1s
[CV] criterion=mse, max_depth=6, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=6, n_estimators=100, random_state=10, score=0.811, total=   0.2s
[CV] criterion=mse, max_depth=6, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=6, n_estimators=100, random_state=10, score=0.859, total=   0.3s
[CV] criterion=mse, max_depth=6, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=6, n_estimators=100, random_state=10, score=0.840, total=   0.3s
[CV] criterion=mse, max_depth=6, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=6, n_estimators=100, random_state=10, score=0.860, total=   0.3s
[CV] criterion=mse, max_depth=6, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=6, n_estimators=100, random_state=10, score=0.821, total=   0.3s
[CV] criterion=mse, max_depth=6, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=6, n_estimators=150, random_state=10, score=0.811, total=   0.5s
[CV] criterion=mse, max_depth=6, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=6, n_estimators=150, random_state=10, score=0.859, total=   0.5s
[CV] criterion=mse, max_depth=6, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=6, n_estimators=150, random_state=10, score=0.838, total=   0.4s
[CV] criterion=mse, max_depth=6, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=6, n_estimators=150, random_state=10, score=0.861, total=   0.4s
[CV] criterion=mse, max_depth=6, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=6, n_estimators=150, random_state=10, score=0.819, total=   0.3s
[CV] criterion=mse, max_depth=7, n_estimators=50, random_state=10 ....
[CV]  criterion=mse, max_depth=7, n_estimators=50, random_state=10, score=0.841, total=   0.1s
[CV] criterion=mse, max_depth=7, n_estimators=50, random_state=10 ....
[CV]  criterion=mse, max_depth=7, n_estimators=50, random_state=10, score=0.890, total=   0.1s
[CV] criterion=mse, max_depth=7, n_estimators=50, random_state=10 ....
[CV]  criterion=mse, max_depth=7, n_estimators=50, random_state=10, score=0.865, total=   0.1s
[CV] criterion=mse, max_depth=7, n_estimators=50, random_state=10 ....
[CV]  criterion=mse, max_depth=7, n_estimators=50, random_state=10, score=0.883, total=   0.1s
[CV] criterion=mse, max_depth=7, n_estimators=50, random_state=10 ....
[CV]  criterion=mse, max_depth=7, n_estimators=50, random_state=10, score=0.855, total=   0.1s
[CV] criterion=mse, max_depth=7, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=7, n_estimators=100, random_state=10, score=0.839, total=   0.3s
[CV] criterion=mse, max_depth=7, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=7, n_estimators=100, random_state=10, score=0.887, total=   0.3s
[CV] criterion=mse, max_depth=7, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=7, n_estimators=100, random_state=10, score=0.861, total=   0.3s
[CV] criterion=mse, max_depth=7, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=7, n_estimators=100, random_state=10, score=0.881, total=   0.3s
[CV] criterion=mse, max_depth=7, n_estimators=100, random_state=10 ...
[CV]  criterion=mse, max_depth=7, n_estimators=100, random_state=10, score=0.854, total=   0.3s
[CV] criterion=mse, max_depth=7, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=7, n_estimators=150, random_state=10, score=0.841, total=   0.3s
[CV] criterion=mse, max_depth=7, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=7, n_estimators=150, random_state=10, score=0.888, total=   0.3s
[CV] criterion=mse, max_depth=7, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=7, n_estimators=150, random_state=10, score=0.862, total=   0.3s
[CV] criterion=mse, max_depth=7, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=7, n_estimators=150, random_state=10, score=0.884, total=   0.3s
[CV] criterion=mse, max_depth=7, n_estimators=150, random_state=10 ...
[CV]  criterion=mse, max_depth=7, n_estimators=150, random_state=10, score=0.855, total=   0.3s
[CV] criterion=mae, max_depth=3, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=3, n_estimators=50, random_state=10, score=0.608, total=   0.5s
[CV] criterion=mae, max_depth=3, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=3, n_estimators=50, random_state=10, score=0.635, total=   0.6s
[CV] criterion=mae, max_depth=3, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=3, n_estimators=50, random_state=10, score=0.626, total=   0.6s
[CV] criterion=mae, max_depth=3, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=3, n_estimators=50, random_state=10, score=0.650, total=   0.6s
[CV] criterion=mae, max_depth=3, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=3, n_estimators=50, random_state=10, score=0.619, total=   0.5s
[CV] criterion=mae, max_depth=3, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=3, n_estimators=100, random_state=10, score=0.622, total=   0.9s
[CV] criterion=mae, max_depth=3, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=3, n_estimators=100, random_state=10, score=0.635, total=   0.9s
[CV] criterion=mae, max_depth=3, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=3, n_estimators=100, random_state=10, score=0.614, total=   0.9s
[CV] criterion=mae, max_depth=3, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=3, n_estimators=100, random_state=10, score=0.655, total=   0.9s
[CV] criterion=mae, max_depth=3, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=3, n_estimators=100, random_state=10, score=0.621, total=   0.9s
[CV] criterion=mae, max_depth=3, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=3, n_estimators=150, random_state=10, score=0.622, total=   1.3s
[CV] criterion=mae, max_depth=3, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=3, n_estimators=150, random_state=10, score=0.636, total=   1.3s
[CV] criterion=mae, max_depth=3, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=3, n_estimators=150, random_state=10, score=0.604, total=   1.3s
[CV] criterion=mae, max_depth=3, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=3, n_estimators=150, random_state=10, score=0.651, total=   1.3s
[CV] criterion=mae, max_depth=3, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=3, n_estimators=150, random_state=10, score=0.620, total=   1.3s
[CV] criterion=mae, max_depth=4, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=4, n_estimators=50, random_state=10, score=0.697, total=   0.5s
[CV] criterion=mae, max_depth=4, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=4, n_estimators=50, random_state=10, score=0.737, total=   0.5s
[CV] criterion=mae, max_depth=4, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=4, n_estimators=50, random_state=10, score=0.728, total=   0.5s
[CV] criterion=mae, max_depth=4, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=4, n_estimators=50, random_state=10, score=0.764, total=   0.5s
[CV] criterion=mae, max_depth=4, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=4, n_estimators=50, random_state=10, score=0.697, total=   0.5s
[CV] criterion=mae, max_depth=4, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=4, n_estimators=100, random_state=10, score=0.699, total=   1.0s
[CV] criterion=mae, max_depth=4, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=4, n_estimators=100, random_state=10, score=0.738, total=   1.0s
[CV] criterion=mae, max_depth=4, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=4, n_estimators=100, random_state=10, score=0.718, total=   1.2s
[CV] criterion=mae, max_depth=4, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=4, n_estimators=100, random_state=10, score=0.758, total=   1.2s
[CV] criterion=mae, max_depth=4, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=4, n_estimators=100, random_state=10, score=0.705, total=   1.3s
[CV] criterion=mae, max_depth=4, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=4, n_estimators=150, random_state=10, score=0.699, total=   1.9s
[CV] criterion=mae, max_depth=4, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=4, n_estimators=150, random_state=10, score=0.737, total=   1.7s
[CV] criterion=mae, max_depth=4, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=4, n_estimators=150, random_state=10, score=0.715, total=   1.9s
[CV] criterion=mae, max_depth=4, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=4, n_estimators=150, random_state=10, score=0.754, total=   1.8s
[CV] criterion=mae, max_depth=4, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=4, n_estimators=150, random_state=10, score=0.712, total=   1.9s
[CV] criterion=mae, max_depth=5, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=5, n_estimators=50, random_state=10, score=0.751, total=   0.8s
[CV] criterion=mae, max_depth=5, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=5, n_estimators=50, random_state=10, score=0.792, total=   0.6s
[CV] criterion=mae, max_depth=5, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=5, n_estimators=50, random_state=10, score=0.783, total=   0.6s
[CV] criterion=mae, max_depth=5, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=5, n_estimators=50, random_state=10, score=0.815, total=   0.9s
[CV] criterion=mae, max_depth=5, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=5, n_estimators=50, random_state=10, score=0.763, total=   0.7s
[CV] criterion=mae, max_depth=5, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=5, n_estimators=100, random_state=10, score=0.758, total=   1.3s
[CV] criterion=mae, max_depth=5, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=5, n_estimators=100, random_state=10, score=0.794, total=   1.3s
[CV] criterion=mae, max_depth=5, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=5, n_estimators=100, random_state=10, score=0.783, total=   1.3s
[CV] criterion=mae, max_depth=5, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=5, n_estimators=100, random_state=10, score=0.819, total=   1.2s
[CV] criterion=mae, max_depth=5, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=5, n_estimators=100, random_state=10, score=0.756, total=   1.3s
[CV] criterion=mae, max_depth=5, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=5, n_estimators=150, random_state=10, score=0.753, total=   2.1s
[CV] criterion=mae, max_depth=5, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=5, n_estimators=150, random_state=10, score=0.795, total=   2.0s
[CV] criterion=mae, max_depth=5, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=5, n_estimators=150, random_state=10, score=0.783, total=   1.7s
[CV] criterion=mae, max_depth=5, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=5, n_estimators=150, random_state=10, score=0.820, total=   1.7s
[CV] criterion=mae, max_depth=5, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=5, n_estimators=150, random_state=10, score=0.762, total=   1.7s
[CV] criterion=mae, max_depth=6, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=6, n_estimators=50, random_state=10, score=0.805, total=   0.6s
[CV] criterion=mae, max_depth=6, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=6, n_estimators=50, random_state=10, score=0.848, total=   0.6s
[CV] criterion=mae, max_depth=6, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=6, n_estimators=50, random_state=10, score=0.825, total=   0.6s
[CV] criterion=mae, max_depth=6, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=6, n_estimators=50, random_state=10, score=0.862, total=   0.6s
[CV] criterion=mae, max_depth=6, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=6, n_estimators=50, random_state=10, score=0.812, total=   0.6s
[CV] criterion=mae, max_depth=6, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=6, n_estimators=100, random_state=10, score=0.807, total=   1.3s
[CV] criterion=mae, max_depth=6, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=6, n_estimators=100, random_state=10, score=0.848, total=   1.3s
[CV] criterion=mae, max_depth=6, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=6, n_estimators=100, random_state=10, score=0.822, total=   1.3s
[CV] criterion=mae, max_depth=6, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=6, n_estimators=100, random_state=10, score=0.862, total=   1.3s
[CV] criterion=mae, max_depth=6, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=6, n_estimators=100, random_state=10, score=0.814, total=   1.5s
[CV] criterion=mae, max_depth=6, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=6, n_estimators=150, random_state=10, score=0.803, total=   2.3s
[CV] criterion=mae, max_depth=6, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=6, n_estimators=150, random_state=10, score=0.847, total=   2.3s
[CV] criterion=mae, max_depth=6, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=6, n_estimators=150, random_state=10, score=0.824, total=   2.2s
[CV] criterion=mae, max_depth=6, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=6, n_estimators=150, random_state=10, score=0.865, total=   1.8s
[CV] criterion=mae, max_depth=6, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=6, n_estimators=150, random_state=10, score=0.817, total=   1.8s
[CV] criterion=mae, max_depth=7, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=7, n_estimators=50, random_state=10, score=0.832, total=   0.7s
[CV] criterion=mae, max_depth=7, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=7, n_estimators=50, random_state=10, score=0.880, total=   0.7s
[CV] criterion=mae, max_depth=7, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=7, n_estimators=50, random_state=10, score=0.848, total=   0.7s
[CV] criterion=mae, max_depth=7, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=7, n_estimators=50, random_state=10, score=0.890, total=   0.7s
[CV] criterion=mae, max_depth=7, n_estimators=50, random_state=10 ....
[CV]  criterion=mae, max_depth=7, n_estimators=50, random_state=10, score=0.836, total=   0.7s
[CV] criterion=mae, max_depth=7, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=7, n_estimators=100, random_state=10, score=0.830, total=   1.4s
[CV] criterion=mae, max_depth=7, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=7, n_estimators=100, random_state=10, score=0.875, total=   1.5s
[CV] criterion=mae, max_depth=7, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=7, n_estimators=100, random_state=10, score=0.851, total=   1.4s
[CV] criterion=mae, max_depth=7, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=7, n_estimators=100, random_state=10, score=0.885, total=   1.4s
[CV] criterion=mae, max_depth=7, n_estimators=100, random_state=10 ...
[CV]  criterion=mae, max_depth=7, n_estimators=100, random_state=10, score=0.837, total=   1.5s
[CV] criterion=mae, max_depth=7, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=7, n_estimators=150, random_state=10, score=0.830, total=   2.2s
[CV] criterion=mae, max_depth=7, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=7, n_estimators=150, random_state=10, score=0.878, total=   2.9s
[CV] criterion=mae, max_depth=7, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=7, n_estimators=150, random_state=10, score=0.852, total=   2.4s
[CV] criterion=mae, max_depth=7, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=7, n_estimators=150, random_state=10, score=0.887, total=   2.0s
[CV] criterion=mae, max_depth=7, n_estimators=150, random_state=10 ...
[CV]  criterion=mae, max_depth=7, n_estimators=150, random_state=10, score=0.838, total=   1.9s
[Parallel(n_jobs=1)]: Done 150 out of 150 | elapsed:  1.8min finished
Out[599]:
GridSearchCV(cv=None, error_score=nan,
             estimator=ExtraTreesRegressor(bootstrap=False, ccp_alpha=0.0,
                                           criterion='mse', max_depth=None,
                                           max_features='auto',
                                           max_leaf_nodes=None,
                                           max_samples=None,
                                           min_impurity_decrease=0.0,
                                           min_impurity_split=None,
                                           min_samples_leaf=1,
                                           min_samples_split=2,
                                           min_weight_fraction_leaf=0.0,
                                           n_estimators=100, n_jobs=None,
                                           oob_score=False, random_state=None,
                                           verbose=0, warm_start=False),
             iid='deprecated', n_jobs=None,
             param_grid={'criterion': ['mse', 'mae'],
                         'max_depth': [3, 4, 5, 6, 7],
                         'n_estimators': [50, 100, 150], 'random_state': [10]},
             pre_dispatch='2*n_jobs', refit=True, return_train_score=False,
             scoring=None, verbose=3)
In [600]:
print(grid.best_params_)
print(grid.best_score_)
print(grid.best_estimator_)
{'criterion': 'mse', 'max_depth': 7, 'n_estimators': 50, 'random_state': 10}
0.8665813889607181
ExtraTreesRegressor(bootstrap=False, ccp_alpha=0.0, criterion='mse',
                    max_depth=7, max_features='auto', max_leaf_nodes=None,
                    max_samples=None, min_impurity_decrease=0.0,
                    min_impurity_split=None, min_samples_leaf=1,
                    min_samples_split=2, min_weight_fraction_leaf=0.0,
                    n_estimators=50, n_jobs=None, oob_score=False,
                    random_state=10, verbose=0, warm_start=False)
In [601]:
etree = ExtraTreesRegressor(bootstrap=False, ccp_alpha=0.0, criterion='mse',
                    max_depth=7, max_features='auto', max_leaf_nodes=None,
                    max_samples=None, min_impurity_decrease=0.0,
                    min_impurity_split=None, min_samples_leaf=1,
                    min_samples_split=2, min_weight_fraction_leaf=0.0,
                    n_estimators=50, n_jobs=None, oob_score=False,
                    random_state=10, verbose=0, warm_start=False)
In [602]:
etree.fit(X_train_scaled,y_train)
print("The score on train data: ",etree.score(X_train_scaled,y_train))
print("\nThe score on test data: ",etree.score(X_test_scaled,y_test))
The score on train data:  0.922137358791359

The score on test data:  0.8595643330202364
In [603]:
y_pred = randf.predict(X_test_scaled)
print("The RMSE score is ", np.sqrt(mse(y_pred,y_test)))
print("The R-squared value is ",r2_score(y_pred,y_test))

# The extra trees model has a score of 86% with RMSE 5.5 and r2 value as 0.86
The RMSE score is  5.550039325728872
The R-squared value is  0.8636556995079089
In [604]:
scores = []
RMSE = []
r2= []
kf = KFold(n_splits=10, shuffle=False)
for train_index, test_index in kf.split(X,Y):
    X_train, X_test, y_train, y_test = X[train_index], X[test_index], Y[train_index], Y[test_index]
    ss_kf = StandardScaler()
    X_train_scaled = ss_kf.fit_transform(X_train)
    X_test_scaled = ss_kf.transform(X_test)
    model = ExtraTreesRegressor(bootstrap=False, ccp_alpha=0.0, criterion='mse',
                    max_depth=7, max_features='auto', max_leaf_nodes=None,
                    max_samples=None, min_impurity_decrease=0.0,
                    min_impurity_split=None, min_samples_leaf=1,
                    min_samples_split=2, min_weight_fraction_leaf=0.0,
                    n_estimators=50, n_jobs=None, oob_score=False,
                    random_state=10, verbose=0, warm_start=False)
    model.fit(X_train_scaled, y_train)
    y_pred = model.predict(X_test_scaled)
    scores.append(model.score(X_test_scaled, y_test))
    RMSE.append(np.sqrt(mse(y_pred, y_test)))
    r2.append(r2_score(y_pred,y_test))
In [605]:
model= "Extra Tree Regressor"
print("{:.2f}% to {:.2f}%".format((np.mean(scores)-2*np.std(scores))*100,(np.mean(scores)+2*np.std(scores))*100))
print("{:.2f} to {:.2f}".format((np.mean(RMSE)-2*np.std(RMSE)),(np.mean(RMSE)+2*np.std(RMSE))))
print("{:.2f} to {:.2f}".format((np.mean(r2)-2*np.std(r2)),(np.mean(r2)+2*np.std(r2))))
81.00% to 92.62%
4.53 to 7.21
0.73 to 0.90
In [607]:
j = pd.DataFrame({'Model perfomance at 95% confidence': model,'Score':'81.00% to 92.62%',
                  'RMSE':'4.53 to 7.21','R-squared':'0.73 to 0.90'} ,index=[10])
j
Out[607]:
Model perfomance at 95% confidence Score RMSE R-squared
10 Extra Tree Regressor 81.00% to 92.62% 4.53 to 7.21 0.73 to 0.90
In [609]:
final_model = pd.concat([a,b,c,d,e,f,g,h,i,j])

CONCLUSION

In [ ]:
# The model was first analysed. There were no NAN values. However, there were many '0' values. (almost 600 or more entries)
# But these '0' here does not mean it is a null entry. It maybe because of the fact that,those attributes were not added for that particular concrete composition

# univaritate analysis and bivariate analysis were performed. The 75 percentile value and max value were far apart.
# Also, from the boxplot, it was inferred that there are presence of outliers. 
# These outliers were treated by the principle of removing values which are: 
    # 1) less than 1.5 times the IQR, from the First quartile
    # 2) greater than 1.5 times the IQR, from the third quartile

# Pairplot and heatmap analysis showed that there was no attribute that was in good correlation with the target attribute. 
# Only cement was of the highest correlation (50%)

# A composite feature was formed, which was a combination of coarge_agg and fine_agg --> coarse_agg /- kg of fine_agg

# Next, cluster analysis was performed. 
# Using Kmeans, 8 clusteres were formed and were analysed cluster wise. However, the clusters were highly overlapping
# There was not a single attribute with seperate clusters. Hence the inference from the clusters was very less. 
# Despite that, there were one or two clusters in a few attributes, which were acting as a good predictor of that attribute
# for eg: cement vs strength, water vs strength, coarse_agg_perkgof_fin_agge vs strength

# Next feature importance was obtained from linear regression model and decision tree. 
# It was inferred that, coarse_agg_fine_agg, superplastic and ash were of least importance

Model Perfomance

In [610]:
final_model
Out[610]:
Model perfomance at 95% confidence Score RMSE R-squared
1 Linear Regression 64.96% to 85.91% 6.45 to 9.57 0.54 to 0.82
2 Ridge Regression 64.99% to 85.88% 6.45 to 9.57 0.53 to 0.82
3 Lasso Regression 65.22% to 85.70% 6.44 to 9.58 0.52 to 0.81
4 Decision Tree Regressor 77.62% to 92.39% 5.20 to 7.26 0.76 to 0.91
5 Support Vector Regressor 84.35% to 95.53% 3.59 to 6.65 0.83 to 0.95
6 KNN Regressor 80.66% to 89.07% 4.91 to 7.76 0.73 to 0.88
7 Ada Boost Regressor 86.40% to 95.06% 3.44 to 6.43 0.84 to 0.95
8 Gradient Boosting Regressor 89.21% to 97.76% 2.58 to 5.63 0.88 to 0.98
9 Random Forest Regressor 84.58% to 94.95% 3.82 to 6.51 0.81 to 0.94
10 Extra Tree Regressor 81.00% to 92.62% 4.53 to 7.21 0.73 to 0.90
In [ ]:
# At 95% confidence level, the simple linear model, ridge and lasso all performed at the same level between:
#     1) 64.9% to 85% for score
#     2) 6.45 to 9.5 for RMSE
#     3) 0.5 to 0.8 for the R-squared
# At 95% confidence level, this is not a "very good model"

# Desicion Tree regressor: 
# Decision tree regressor performed better than the linear models in terms of score, RMSE and r-squared. 
# But still, it wasn't good enough

# SVR: 
# it has a very good score range of 84-95% and RMSE was 4-6.5 and r2 as .83-.95 
# This is a good model

# KNN regressor:
# With RMSE between 4.9 to 7.7 and r2 of 0.73-0.88, KNN regressor was performing lesser than the SVR model

# Adaboost:
# Has a score range of 86 to 95% ; RMSE between 3.4 to 6.4 and r2 of 0.84 to 0.95
# This is a very good range interms of RMSE and r2 value

# Gradient boosting:
# With a score range of approximately 90% to 97% and r2 of 0.88 to 0.98, and RMSE of 2.58 to 5.63, 
# Gradient boosting is a very good model among the lot

# Random forest regressor:
# has a score of 84-95% and RMSE of 3.82 to 6.51 and r2 of 0.81 to 0.94. This is a good model too

# Extra trees regressor:
# Suprisingly, extra tree regressor also performed well with a score range of 81 to 92 % with RMSE of 4.5 to 7.2 
# and r2 of 0.73-0.90



# Among all the models, SVR, ada boost, gradient boost, Random forest and extra tree regressor were the better performing models.
# However, gradient boosting regressor was the "BEST" performing model of the lot, with a score range of 89-98%, 
# and with a low RMSE and a r2 value close to 1 (0.88 to 0.98)

# Hence, my final conclusion is,

# At 95% confidence gradient descent predicts the compressive strength of the concrete with :
#     1) score range : 89.21% to 97.76%
#     2) RMSe range : 2.58 to 5.63
#     3) R-squared range : 0.88 to 0.98